Structured products: what’s behind them?

Jules HERNANDEZ

In this article, Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025) writes about structured products, the different types of products sold by banks, but also by wealth managers. [FL1.1]This article will also talk about what’s behind them, on a more technical point of view, with description of financial technical instruments such as combinations of derivatives. [FL2.1]

What is a structured product ?

A structured product is a type of financial investment whose return is tied to the performance of one or more underlying assets and defined by pre-specified features and scenarios. It is not a simple buy-and-hold portfolio in equities and bonds, but rather a customized investment instrument created by combining multiple financial products to achieve a particular risk-return profile. [FL4.1]According to BNP Paribas Wealth Management[FL5.1], structured products can be broadly defined as “a savings or investment product where the return is linked to an underlying asset with pre-defined features (maturity date, coupon dates, capital protection level …)”. These instruments belong to the category of non-traditional investment strategies and are typically constructed by packaging together a bond, one or more underlying assets, and financial instruments such as derivatives. It can serve as a tool for portfolio diversification and an alternative to traditional investments, according to Yaël Eljarrat-Ouakni, Head of Structured Products offerings at Societe Generale Private Banking France. [FL6.1]What makes structured products distinctive is that their payoff is conditioned on market outcomes rather than simply the passage of time. The return an investor receives (whether it involves coupon payments, principal protection, or participation in underlying asset performance) is determined at the product’s launch and depends on how the reference markets evolve relative to the conditions set in the product’s terms. In essence, structured products are tailor-made solutions that allow investors to express specific market views or achieve particular investment goals while defining the precise risk and return mechanics in advance. However, because they combine multiple financial instruments and scenarios, these products are considered more sophisticated than traditional securities and require careful understanding before investment.

Main parameters of a structured product

A structured product is made of several parameters [FL7.1]that defines the financial tools. Each product has different settings that are tailored to the risk-return ratio wanted by the investor. The main components are the following:

Underlying asset

Each structured product is linked to an underlying asset whose performance determines the product’s payoff. The underlying can be a single stock, an equity index, a basket of shares, an interest rate, a credit entity, a commodity, or a currency pair. All asset classes can be underlying assets of a structured product. It could even be a basket of a stock and a rate[FL8.1]. We could imagine an example where an investor is exposed to Apple on one hand, and to the OAT 10 years rate on the other hand. Its characteristics such as volatility, correlation (in the case of baskets), and overall market conditions directly influence the product’s pricing, risk profile, and potential return. The nature of the underlying is therefore a central element in understanding the behavior of the structured product.

Coupons

Similarly to a bond, a coupon is the pre-agreed (before the product is bought) potential income paid to the investor during the life of the structured product. They may be fixed or conditional, and in many structures, they are paid only if the underlying remains above a predefined barrier on specific observation dates. The level of coupons offered depends on several market factors, including volatility of the underlying, interest rates, maturity, dividends in case of a stock or index underlying, and the level of protection embedded in the structure. We will see later in further details how these factors impact the level of the coupon.

Maturity

Maturity is the predetermined date on which the structured product expires, and its final payoff is calculated. It may range from short-term (around one year) to long-term (up to ten years or more). Any capital protection mechanism typically applies only at maturity. Certain products also include early redemption features, such as autocall mechanisms, which allow the product to terminate before its scheduled maturity if specific market conditions are satisfied.

Capital protection level

The capital protection level defines the extent to which the initial investment is protected at maturity. Protection may be full, partial, or conditional upon the underlying not falling below a specified barrier. If the protection condition is breached, the investor may be exposed to partial or total loss of capital. This parameter is fundamental, as it largely determines the downside risk embedded in the product. We will explore later why this protection matters and how by reducing the capital protection, an investor can increase its coupon.

Observation frequency

Observation frequency refers to how often the product’s conditions are assessed. Observations may occur annually, semi-annually, quarterly, monthly, or even daily, depending on the structure. Coupon payments, barrier monitoring, and early redemption triggers are evaluated on these predefined dates. For instance, the frequency of observation affects the probability of coupons being paid and the likelihood of early redemption.

Issuer

A structured product is issued by a financial institution, typically a bank. The most known issuers on the market are typically JP Morgan, Goldman Sachs, BNPParibas or Société Générale. [FL9.1]Investors are therefore exposed to issuer credit risk, meaning that the repayment of capital and any coupons depends on the issuer’s financial strength and ability to meet its obligations. In the event of issuer default, investors may incur losses regardless of the performance of the underlying asset. Assessing the creditworthiness of the issuer is therefore essential.

Liquidity conditions

Liquidity conditions refer to the ability to sell the structured product before maturity. Although many issuers usually provide secondary market pricing under normal market conditions, liquidity is not guaranteed. The product’s market value before maturity can fluctuate significantly due to changes in the underlying asset, volatility, interest rates, and credit spreads. As a result, exiting early may lead to gains or losses that differ substantially from the payoff expected at maturity.

The different families of products

Capital growth products

Capital growth products are structured products designed primarily to enhance the value of the initial investment at maturity rather than to generate regular income during the life of the product. Returns are typically paid at maturity and depend on the performance of the underlying asset according to predefined participation rates, leverage factors, or payoff formulas. These products may offer full or partial capital protection, or they may provide enhanced upside participation in exchange for limited or conditional downside protection. They are generally suitable for investors seeking medium- to long-term capital appreciation and who do not require periodic income. Most of these products bear the name of “Athena products” and usually have autocall features, which we’ll explain in further sections.

Yield products

Yield or income products are designed to generate regular conditional coupons during the life of the investment. These coupons are typically paid periodically (for instance, quarterly, or annually) if certain market conditions are met. The income offered is usually higher than traditional fixed-income instruments because investors accept conditional and additional downside risk. In many cases, capital is only protected if the underlying asset does not breach a predefined barrier at maturity. Common examples of yield products are Phoenix products [FL10.1]or reverse convertibles.

Main Types of Structured Products

[FL11.1]

Autocall

Autocallable notes (often simply called “Autocalls”) are structured products that offer conditional coupons and include an automatic early redemption feature. On predefined observation dates, if the underlying asset trades at or above a specified level (the autocall barrier), usually the strike of the underlying, the product is redeemed early, and the investor receives the nominal amount plus the accrued coupon. To recall, [FL12.1]the strike price is the price at which the underlying asset trades when the structured product is issued. The strike price is often expressed as a percentage of the initial level, which is always 100, representing the initial level set at inception. If the underlying asset does not trade at more than the strike level at the observation date, e.g. 90, the product continues until the next observation date or until maturity. Autocalls are among the most widely distributed structures in Europe. According to the AMF report “Markets and Risk Outlook” of 2025, “The most common structure for structured products distributed in Europe, as in the rest of the world, is the autocall” and “In France, in 2024, autocalls accounted for almost two-thirds of the structured products distributed.”

Worst of products

“Worst of” structured products are linked to a basket of underlyings, and their performance is determined by the worst-performing asset in the basket. Imagine a worst of product with 3 underlying assets, Apple, Microsoft, Amazon. At observation date, we will take into consideration for the payment of the coupon (and the autocall feature if the product is a Autocall worst of) the least performative asset. For instance, if Apple is at 70% of the strike, Microsoft at 80% and Amazon at 65%, only the amazon performance will be taken into account. While this structure allows for higher coupon payments due to increased risk, it also significantly raises downside exposure because capital protection and coupon conditions depend on the weakest underlying. It is in the investor’s interest to select a basket of underlyings whose correlation is as close as possible to 1. Ideally, all the assets should move in the same direction. A correlation of -1 would be completely detrimental to the investor since if one stock performs well, the other stock has a high probability of opposite performance. Some banks also issue “Best of” products which are a lot less risky[FL13.1], because the underlying taken into account is, here, the strongest asset.

Bearish products

Bearish products are designed for investors with a negative or moderately bearish market view. In simpler words, the investor is going against the market, betting the market will go down. In these structures, coupons or early redemption may be triggered if the underlying remains below or declines toward certain predefined levels. They allow investors to monetize a non-bullish market scenario while still embedding conditional risk protection mechanisms. These products are not common, but for certain investors those can be interesting for tactical diversification or hedging positions.

Phoenix products

Phoenix products are income-generating structured products that pay periodic conditional coupons, often featuring a memory effect, which we’ll explain later. Unlike standard autocalls, coupon payments do not necessarily require early redemption. Coupons may accumulate and be paid later if conditions are subsequently met. At maturity, all the coupons accumulated are paid and the capital is refunded if the underlying is not below the capital protection barrier. Phoenix structures are widely used in private banking for investors seeking regular yield.

Credit Linked Note (CLN)

Credit Linked Notes are structured products that provide exposure to the credit risk of one or several reference entities. Instead of being primarily linked to equity performance, CLNs are tied to the occurrence of predefined credit events (such as default or restructuring). Investors receive enhanced yield in exchange for assuming the credit risk of the reference entity. If a credit event occurs, the investor may suffer partial or total loss of capital depending on the recovery rate. On a more technical point of view, in the case of a CLN, the investor is selling Credit Default Swaps (CDS) to finance the coupon he’s supposed to receive if no credit default occurs. (During an interview, you might simply say, that in a CLN, the investor is short a CDS). These CLN can be linked to more than one company and are tools commonly used for yield enhancement and credit diversification strategies.

Reverse Convertible

Reverse convertibles are yield-enhancement products that offer high fixed coupons in exchange for conditional exposure to the downside of an underlying asset. In these products, regardless of the performance of the underlying asset, the coupon will always be paid. But, on the other hand, if the underlying falls below the capital protection barrier, repayment may occur in shares (or at a value linked to the underlying’s final level), leading to potential capital loss. Otherwise, if the underlying remains above a predefined strike or barrier at maturity, the investor receives full nominal repayment. Therefore, these products always last until the end of their lifespan. Depending on the maturity, the investor is taking a illiquidity risk (this risk is associated with every type of structured products, even if there might be liquidity conditions that can allow the investor to sell his position on a secondary market).

Key features of structured products

Structured products are engineered using specific mechanisms that shape their risk-return profiles. By playing with the parameters, we’ll explore in this section, an investor is able to shape an ideal product, that replicates its market view. By tailoring these mechanisms, an issuer can adjust the risk/return ratio of a structured product. Overall, taking more risks means greater coupons for the investor (as always, if the conditions for payment are met).

Capital protection barriers

A capital protection barrier is a predefined level of the underlying asset below which the investor may incur a loss of capital. If the underlying never breaches this barrier during its observation period (or at maturity, depending on the structure), the investor can benefit from full or partial protection of their initial investment. Barriers are usually expressed as a percentage of the initial underlying level (set at 100). For instance, if a structured product sets a capital protection barrier at 70%. This means that, at maturity, if the underlying lies below this barrier, the investor will suffer a capital loss, proportional to how deep he is. If the underlying is trading at 65% of the strike at maturity, the investor will lose 35% of its invested capital. Otherwise, if the underlying asset closes at 71%, the entirety of the nominal invested will be repaid to the investor.

Investors should understand that the lower the capital protection barrier, the “safer” the investment, and therefore the lower the coupon offered. Conversely, the higher the capital protection barrier, the riskier the product becomes, as the probability of incurring a capital loss increases, and accordingly, the higher the coupon offered. It is also possible to remove all kinds of capital protection, but this rarely the case since it offers full exposure to the underlying asset and is therefore very risky.

Total capital protection

Total capital protection means that the investor’s principal is guaranteed at maturity regardless of the performance of the underlying. In fully capital-protected products, the investor will receive at least the nominal amount back at maturity. The products with this feature are considered “safe”, but the investor bears a huge illiquidity risk depending on the maturity. Even though he can exit the product under certain liquidity circumstances but recall that these conditions are not always in favor of the investor. The issuer is not willing to lose money by providing these exit possibilities. Therefore, exiting a structured before maturity goes almost always with a discount.

Decrement indices as underlying

This feature is one the most complex features of structured products and is very often misunderstood by investors, but also by wealth managers. This feature is extremely risky as the Central Bank of Ireland tried to warn investors but also finance professionals with a letter in March 2023 to warn about these decrement indices. A decrement index is a type of financial index that gradually decreases by a fixed amount at regular intervals, such as daily, monthly, or annually. Often, this fixed reduction represents dividends paid by the underlying stocks or a pre-specified amount chosen by the index provider. Essentially, the index is designed to drift downward over time in a predictable way. To price a structured product, the issuer (the bank and its traders/structurers) must anticipate two parameters, the risk-free rate and the expected dividends of the underlying in case of a stock or an index. The issue with dividends is that their level is uncertain. They are rarely stable, and companies decide to adjust it depending on their results or their financing needs. This uncertainty makes the anticipation of the dividends really complex for structurers and this uncertainty must be paid by the investors. What offer the banks to avoid the investor to “pay” this uncertainty is to anticipate these dividends by decreasing by a fixed amount. The coupon for the investor becomes therefore more interesting for the investor but the investment becomes significantly riskier. As a matter of fact, let’s imagine that an investor buys a product linked to the European Stoxx 50 (SX5E), with a decrement of 5% yearly. Each year, 5 points will be removed from the performance of the SX5E. This reduction increases a lot the probability that, at maturity, the underlying asset lies under the capital protection barrier.

Autocall barriers

Main feature of autocallables products, an autocall barrier [FL14.1]is a trigger level set for early redemption. On each observation date, if the underlying asset’s price is at or above this barrier, the product is redeemed early and the investor receives the nominal amount plus an accrued coupon. If the barrier is not reached, the product continues until the next observation date or maturity. The probability of early redemption is influenced by volatility, time to maturity, barrier level, and observation frequency. Lower volatility increases the likelihood that the underlying remains near its initial level and therefore increases the probability of being called. Higher observation frequency increases the number of opportunities for redemption. Lower autocall barriers raise the probability of early termination but reduce the coupon that can be offered, as the option budget must reflect the increased likelihood of payout.

Degressive or step-down barriers

Degressive barriers (also called step-down barriers) are barrier levels that decrease over time according to a predetermined schedule (not to be confused with decrement, which is totally different). This feature can affect coupon barriers and/or autocall barriers. This mechanism makes it easier for the product to maintain capital protection or coupon conditions as time passes, since the barrier getting lower, it becomes less risky for the investor and easier to get the coupon even if the underlying has a negative performance. Step-down features are commonly used to balance downside protection with attractive coupon levels.

Leveraged products

Leveraged products amplify the exposure to the underlying’s performance. Instead of offering a one-for-one participation in gains or losses, they provide a multiple (e.g., 2×) of the underlying’s movement above or below a certain level. Leveraged structures can offer higher potential returns but also involve significantly greater risk and complexity, especially in volatile markets. These investments are highly risky and are not common in France or in Europe due to legislation.

Memory effect

The memory effect is a feature found in some structured products, particularly Phoenix, where missed coupon payments can be “remembered” and paid later if conditions are subsequently met. For example, if the product fails to meet the coupon condition on one observation date but satisfies it on subsequent dates, the investor may receive the accumulated unpaid coupons at that later time. This mechanism enhances the probability of ultimately receiving the anticipated income. This feature makes the product less risky and therefore reduces the amount of the coupon.

Technical composition of a structured product: What’s behind the scene?

Structured products may appear complex, but from a financial engineering perspective, most of them can be broken down into two fundamental building blocks: a fixed-income component and a derivatives component. Understanding this decomposition is key to understanding pricing, risk, and payoff mechanics. The fixed-income component corresponds to a zero-coupon bond, and the derivatives component is made of one or multiple options.

Zero-coupon bond

The zero-coupon bond is the capital preservation engine of the structured product. To build a structured product, a zero-coupon bond is purchased at a discount and repays its full nominal value at maturity. In structured products, part of the investor’s initial capital is allocated to buying a zero-coupon bond issued by the bank. If held until maturity, this bond grows back to the nominal amount, thereby ensuring full or partial capital protection (depending on the structure). For example, if interest rates are positive, the issuer does not need to invest 100% of the investor’s capital to guarantee 100% repayment at maturity. A portion (say 85–95%) may be sufficient to secure the nominal amount at maturity, because when a zero-coupon is bought, it is bought a discount. Indeed, the formula for this instrument is as follows : Price (or Present Value) = N/(1+r)^T, with N, the nominal, r, the interest rate, T, the number of years. [FL15.1]For example, if interest rates are 3% and maturity is five years, the issuer needs approximately 86.3% of the invested capital to guarantee repayment of 100 at maturity. The remaining 13.7% constitutes the option budget that will finance the derivative component of the structure. This simple discounting mechanism explains why the interest rate environment plays a crucial role in structured product design. When interest rates are high, the present value of the guaranteed capital is lower, leaving a larger budget to purchase optionality. Conversely, in a low-rate environment, capital protection becomes more expensive, reducing the amount available to enhance coupons or upside participation. Moreover, the longer the maturity, the cheaper the bond. This allows the investor to have a greater budget for the other component, that shapes the payoff. The bigger budget for the options you have, the greater your coupon can be.

Finally the investor has to remember that the zero-coupon bond is not necessarily a risk-free investment. Since the issuer of the bond is the bank that also issues the structured product, the investor bears the issuer’s credit risk default. Therefore, a higher issuer credit spread reduces the cost of the funding leg and mechanically increases the option budget, which may result in more attractive coupons, although at the expense of higher credit risk for the investor.

Options

The performance component of a structured product is constructed through a portfolio of options. Once the funding leg has secured the desired capital protection level, the remaining capital is allocated to buying and/or selling derivative instruments that shape the payoff profile. The option portfolio may include long call options to provide upside participation, short put options to finance enhanced coupons, digital options to generate fixed conditional payments, and barrier options to create knock-in or knock-out features. We will now explore deeper how the mechanisms we explained before are replicated with options.

What about capital protection barriers?

Capital protection barriers are engineered primarily through put options. Consider a structure offering full capital protection as long as the underlying does not fall below 60% of its initial level at maturity. Economically, this is equivalent to the issuer being short a put down-and-in (PDI) option at 60% of the initial level. If the underlying finishes above that level, the put expires worthless, and the investor receives full nominal repayment. If it finishes below, the put is in the money and the investor participates in the downside beyond the strike, typically through physical delivery. Therefore, the sale of this PDI brings cash to the investor that allows to buy more options to increase the potential payoff. By bearing a downside risk with the investor being short a PDI, the premium of the option brings cash to finance other options. The price of these put options varies a lot depending on many factors: volatility of the underlying, maturity but also type of barrier. As a matter of fact, a PDI with a European barrier is cheaper than a PDI with an American barrier. Let’s break it down. European barriers can only be triggered at the end of the product life, at the maturity, but an American put can be exercised at any time before maturity. Ultimately, an American option gives more in-the-moneyness probabilities to the investor who is long the put.

Moreover, there is a concept that matters a lot for structurers: the skew. Skew simply states that the downside protection is more expensive than upward protection. In other words, put are more expensive than call for a same (opposite) strike. This is explained because investors fear more the loss than the gains. This concept affects therefore the price of a PDI option, in the advantage of the investor if he’s willing to take a riskier standpoint. Finally, another alternative to PDI to gain downside protection, is the Gear Put, which is a leveraged put. As I mentioned earlier, these protections are not common since the European and French regulators do not want that retail investors take leveraged downside positions.

How do structurers build autocall barriers ?

To recall, [FL16.1]an autocall is triggered if, at the observation date, the underlying trades above the autocall barrier. This barrier is synthetized by structurers by using knock-out digital options, calls here, also called barrier options. These tools simply say that, at the observation date, if the underlying asset trades above the strike price, then the digital call is triggered and pays a fixed pre-determined amount. The payoff of these instruments is therefore simply 1 or 0 depending of the level of the underlying. Without going too deep into the technical side of these digitals. Due to the liquidity of these options, a structurer creates these barrier options using call spreads.

The Greeks, what sensitiveness do traders look at?

Structured products are not static instruments. Once issued, they are dynamically hedged by the structuring or trading desk. The risk of these products is managed through sensitivities known as “Greeks,” which measure how the product’s value changes in response to variations in market parameters. Because most structured products embed optionality, understanding these sensitivities is crucial for risk management. Traders continuously monitor delta, gamma, vega, and theta in order to hedge their positions and control their P&L (Profit & Loss).

Delta

The delta measures the sensitivity of the product’s price to small changes in the underlying asset. For instance, if a product has a delta of 0.4, a one-unit increase in the underlying leads approximately to a 0.4 increase in the product’s value. In structured products, delta is rarely constant. For capital-protected products with upside participation, delta is positive but typically less than one. For yield products such as autocalls or reverse convertibles, delta can vary significantly depending on proximity to barriers. Autocalls structures often shows complex delta behavior. When the underlying approaches the autocall barrier, delta may increase sharply due to the higher probability of early redemption (if the product is triggered, the product ends, and there is no more delta-hedging since the investor is paid). Conversely, if the underlying approaches the capital protection barrier, delta can become more negative, reflecting increasing downside exposure. Trading desks hedge delta dynamically by buying or selling the underlying asset (or futures). Because delta changes continuously, hedging must be adjusted frequently, especially in volatile markets.

Gamma

Gamma measures the sensitivity of delta to changes in the underlying price (it is the second derivative of the product value with respect to the underlying). Gamma reflects how quickly delta changes. High gamma means that delta is unstable and requires frequent rebalancing. Same as the delta, structured products with embedded barrier options often exhibit high gamma near barrier levels. For example, when the underlying trades close to a knock-in or knock-out barrier, small price movements can significantly change the probability of barrier activation, causing sharp shifts in delta. In summary, gamma risk is particularly acute near maturity or near barrier levels.

Vega

Vega measures sensitivity to changes in implied volatility. Implied volatility is not the historical volatility, but the volatility that is anticipated by the market. This implied volatility affects, by a lot, option prices. Vega indicates how much the product’s value changes when market-implied volatility moves by one percentage point. Most structured products distributed to investors are structurally short volatility. This is because enhanced coupons are financed by selling optionality, such as puts. When implied volatility rises, the value of those short options increases, negatively impacting the product’s market value. An investor has to remember that during market crises, volatility spikes can significantly deteriorate the value of structured product inventories due to their short vega profile.

Theta

Finally, the last Greek that an investor must understand is Theta. It measures the sensitivity of the product’s value to the passage of time. It represents time decay. For a long option position, theta is typically negative, as options lose value over time. For a short option position, theta is positive, reflecting the fact that the seller benefits from time passing without adverse movement. For autocall products, time decay also influences the probability of early redemption. As maturity approaches, the distribution of potential outcomes narrows, and risk becomes more concentrated around barrier levels.

Why should I be interested in this post?

You may be interested in this article for several reasons. It summarizes a wide range of key concepts related to financial products. It will therefore be particularly useful if you are an investor seeking investment solutions aimed at growing your wealth. This article provides a solid foundation for understanding these products, which are very often misunderstood. Naturally, these investments involve risks, and I strongly encourage you to fully acknowledge them, as partial or total loss of capital may be associated with this type of product. This article will also help you understand how issuers design and structure these products.

Moreover, the number of structured products sold and issued has increased a lot for few years. According to SRP and their report on the European market, in 2020, the sales volume of structured products in Europe was about more than USD$75 billion, for less than 50 000 structured products issued. In 2024, the number of structured products issued rose to more than 350 000 and the sales volume exploded to reach more than USD$250 billions. Finally, this article may prove highly valuable if you are a student looking to build your knowledge of these financial products. It will also be beneficial if you are preparing for interviews for trading floor positions at investment banks or for roles as a structured products broker. All the elements covered in this article provide relevant material to help you prepare for the technical questions typically asked by recruiters.

[FL17.1]

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Useful resources

Yaël Eljarrat-Ouakni What is a Structured Product? Société Générale Private Banking France.

BNP Paribas Wealth Management (07/2021) Understanding Structured Products

Autorité des Marchés Financiers (AMF) (24/05/2025) 2025 Markets and Risk Outlook

SRP (18/03/2025) Global Market review 2024, Europe Market review 2024

Central Bank of Ireland (03/03/2023)MiFID Structured Retail Product Review – Supervisory Guidance (Decrement Index warnings)

About the author

The article was written in February 2026 by Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025).

   ▶ Discover all articles by Jules HERNANDEZ.

My internship experience in a Multi-Family Office

Jules HERNANDEZ

In this article, Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025) shares his professional experience as Financial Analyst in a Multi-Family Office.

About the company

I worked two years in a Multi-Family Office (MFO) as a Financial Analyst. The purpose of this wealth management firm is to support families and executives across multiple dimensions of their wealth. Their comprehensive wealth management approach offers highly personalized, long-term service focused on objective advice, with a broad scope of expertise spanning legal, tax, financial, and real estate matters.

What is a MFO ?

According to the AFFO (The French Family Association), a Family Office is a advisory structure designed to support one or several families in the management, organization, and long-term preservation of their wealth. Its mission extends across all dimensions of patrimonial oversight and is carried out in close alignment with the family’s objectives, values, and governance framework. Acting solely in the interest of the families it serves, a Family Office adheres strictly to the principles of independence, confidentiality, and full alignment of interests. It typically operates as a multidisciplinary coordinator, bringing together and overseeing the work of various external advisors and partners, including lawyers, notaries, chartered accountants, financial and real estate asset managers, and insurance specialists. The role of a Family Office (FO) or a Multi-Family Office (MFO), who supports several families instead of one, delivering services to each on a strictly individualized and confidential basis, is to cover a broad spectrum of responsibilities, ranging from financial advisory and asset management to wealth strategy and structuring. Where relevant, it also integrates the personal values and convictions of its clients into wealth management decisions. For instance, when a family seeks to invest with an environmentally responsible or impact-driven approach, the Family Office will orient investment choices toward solutions that meet these specific criteria. The financial advisors leading a FO or a MFO must manage their clients’ wealth with a 360-degree vision, as emphasized by Charles-Henri Bujard, President of the AFFO, in his perspective on the Family Office model.

My internship

In January 2024, I joined the team as a financial analyst as part of a two-year work-study program. This experience consisted of two six-month full-time periods at the office, a university exchange, and a period of academic coursework. I worked closely with the Head of Investments on various assignments. Although I was attached to the investment division, I had to fully immerse myself in the firm and understand the role played by each department. The back office, the tax division, and the financial division are highly interconnected and must work hand in hand to ensure efficient and effective wealth management for clients.

My missions

Working in a small structure meant that the tasks were highly varied, and I had the opportunity to take on a wide range of responsibilities. To present this more clearly, let’s divide these tasks into three main categories: Front Office, Middle Office, and Reporting & Sales/Marketing.

Front-Office missions

My front-office responsibilities were multifaceted. The first focused on designing the allocation of our clients’ listed portfolios. This involved identifying the best investment opportunities in public markets, deciding where to invest and selecting the most suitable investment funds in order to capture the highest possible performance. These funds were UCITS available through life insurance contracts. According to the European Fund and Asset Management Association (EFAMA), UCITS (Undertakings for Collective Investment in Transferable Securities) are EU-regulated investment funds designed to protect investors through strict rules on diversification, liquidity and transparency. In simple words, Insurance companies provides a list of EU-regulated investment funds in which a contracted client can invest in. These allocations were reviewed and adjusted regularly, which required carrying out portfolio rebalancing operations (the process of modifying a portfolio’s allocation by divesting from certain holdings and investing in new ones). As part of my role, I was therefore also responsible for executing these rebalancing transactions across clients’ accounts. In addition, in the pursuit of increasingly efficient diversification, I was tasked with conducting due diligence on several ranges of fixed-maturity bond funds with the objective of building a “buy-and-hold” bond strategy for our clients. This due diligence process gave me the opportunity to analyze multiple funds from different asset managers, both from a quantitative and qualitative perspective.

Middle-Office missions

Middle-office responsibilities mainly involved investment continuity management and portfolio monitoring tasks. As some clients were invested in private equity or private debt funds, it was necessary to respond to capital calls issued by fund managers, ensuring that clients’ accounts held sufficient cash to meet these capital requirements. I was also responsible for verifying portfolio data on tools such as Quantalys in order to accurately calculate and present performance results to clients. Quantalys is a tool used mainly by wealth managers (but also asset managers) to back test and build hypothetical portfolios, in order to analyze what would have been the performance over time. We used it to build portfolios and to track their associated performance. Each time we made allocation decisions, we had to update the portfolio data in the tool. This tool is also a huge database gathering all the funds available in the world.

Reporting & Marketing

I was responsible for producing client reporting. This involved preparing portfolio reports using various portfolio management and analytics tools such as FactSet, a leading financial data and analytics platform widely used by investment professionals to access market data, company financials, fund analytics, and performance metrics (basically a concurrent of Bloomberg, which is more known), and Quantalys, which I already mentioned previously. I then led a reporting automation project, streamlining and significantly accelerating the production process. Initially, reports were produced manually using Excel; we transitioned the reporting framework to Power BI, Microsoft’s business intelligence and data visualization tool, which enables the automation of data processing and the creation of interactive dashboards and dynamic reports. Within this framework, I fully developed both the quantitative data models and the visual reporting architecture, improving both accuracy and usability of client reports. In addition, when we conducted webinars or presentations for clients and prospective investors, I was responsible for producing ad hoc analyses on a range of topics, including macroeconomic developments, in-depth analysis of investment funds within our portfolios, and performance presentations supported by detailed charts. Finally, with the aim of demonstrating to potential prospects what their returns could have been if they had invested with us from a given starting point, I built an Excel-based model tracking the performance of the proposed model portfolio.

Required skills and knowledge

In this profession, and particularly within this firm, the required knowledge primarily relates to financial markets. We must have a solid understanding of a wide range of financial investments (equities, bonds and different bond structures, private markets such as private equity, private debt including secondary markets, infrastructure, specialized investment funds such as semi-liquid evergreen funds, structured products, etc.). It is also essential to be comfortable with economic and geopolitical news, as well as macroeconomic analysis, in order to build the most suitable portfolios for clients. In terms of skills, strong data analysis capabilities and a high level of rigor are required when interpreting financial information. Finally, strong communication skills are essential: being comfortable speaking with clients, demonstrating active listening, and providing tailored analysis to meet each client’s specific needs.

What I learned

First, I strengthened my knowledge of financial markets. Being attached to the investment management team, I discovered numerous asset classes that I had not previously been familiar with. I then gained an understanding of how investments work in practice and which vehicles are available in France to invest. Taxation plays a central role in wealth management, and I learned to understand its constraints in order to grasp how it impacts an individual’s overall wealth. Finally, I learned how to work cross-functionally with multiple teams, an essential aspect of the financial advisor’s role. This experience also allowed me to develop key professional qualities: rigor, analytical thinking, autonomy, as well as collaboration and a strong sense of collegiality.

Financial concepts related to my internship

I present below three financial concepts related to my internship: investment horizon, diversification, and the importance of a qualitative relationship with clients.

Investment Horizon

As a financial advisor, wealth manager or even a regular investor, before building a portfolio or making any investment, it is essential to define a key parameter, a parameter that even takes precedence over the client’s risk aversion: the investment horizon. According to the French Regulator (Autorité des Marchés Financiers or AMF), the investment horizon corresponds to the period during which an investor plans to hold a financial product. In other words, the investor identifies their liquidity needs beforehand and ensures they will not need to unwind their positions before the end of that period. This concept matters because there is a significant difference between the ease of selling an asset and the speed at which cash can be withdrawn without loss. Consider an equity portfolio, for example. While stocks are known for being liquid, meaning investors can buy or sell them with relative ease, it is risky to invest in equities with a short investment horizon. John Maynard Keynes often reminded us that no one, ever, was and will be able to time the market consistently. Because of this structural uncertainty, an investor may suddenly face substantial losses, as it happened during the subprime crisis. It took roughly five years for the S&P 500 to recover its pre-crisis levels and erase the losses caused by the collapse of the U.S. housing market. If an investor had needed liquidity only two years after the crisis, they would have locked in heavy losses. But had they waited longer, exiting after the recommended 7 to 8-year horizon for an equity portfolio, they would not only have recovered from the 2008 downturn, but also benefited from strong capital gains. Therefore, it is crucial for any client to understand their investment horizon and anticipate potential liquidity needs. With this mindset, they can better protect themselves against the inherent uncertainty of financial markets.

Diversification

Diversification is one of the fundamental principles of portfolio management. Throughout this experience, I realized that it goes far beyond simply spreading investments across several assets: it involves building an allocation capable of withstanding various market scenarios. To diversify is to accept that we can never predict with certainty which asset will outperform, but that we can significantly reduce risk by avoiding dependence on a single source of performance. Diversification can be applied at multiple levels. Within an equity portfolio, for example, it can be beneficial to gain exposure to different geographical regions (US, Europe, Asia, Emerging Markets, etc.), to different currencies (EUR, USD, GBP, etc.), and to various economic sectors (healthcare, financials, industrials, etc.). But diversification must also be executed on a broader scale, across the entire wealth base. It is essential to split the overall assets into several relatively small investments across different vehicles. To ensure efficient diversification, it is crucial to explore and invest in multiple asset classes. Part of the portfolio should be dedicated to growth, invested in riskier assets with higher return potential (equities, structured products, private equity, venture capital, cryptocurrencies, commodities…). Another portion should be allocated to defensive assets to preserve wealth (income-producing real estate, bonds, private debt, or precautionary cash reserves). This approach to diversification achieves several objectives: first, it breaks down wealth into multiple sources of income that do not depend on one another. Second, it helps dilute risk by investing in assets that are uncorrelated. Finally, it allows for a strategic allocation of resources across different investment goals: income generation, growth, and capital preservation.

Importance of a qualitative relationship with clients

To conclude this article, I would like to highlight the importance of the relationship between the advisor and the client. Beyond the technical aspects of investing, this relationship forms the true foundation of successful wealth management. An allocation can be perfectly constructed, a portfolio ideally diversified, and an investment horizon carefully respected… but without a relationship built on trust, no strategy can truly succeed. I understood that this relationship relies above all on attentive listening and a deep understanding of the client’s objectives: their projects, constraints, personal situation and family situation. An advisor is not only a financial technician, he or she is a reliable source of support in whom the client can place their trust. The advisor must also demonstrate strong pedagogical skills to help clients navigate a complex and time-consuming financial environment. In 2023, Danielle Labotka, a behavioral scientist, conducted a study for Morningstar involving a large sample of clients working with financial advisors. The study revealed that 21% of respondents (3,003 respondents) consider the quality of the relationship with their advisor to be the most important factor, surpassing all other aspects shown below :

Importance of concepts among financial advisors’ customers
Importance of concepts among financial advisors’ customers
Source: Morningstar, April 2023, Danielle Labotka, “Why Do Investors Fire Their Financial Adviser?”

Why should I be interested in this post?

The world of wealth management and financial advisory is experiencing strong growth, particularly in France, a country where financial literacy is steadily increasing and where individuals are increasingly aware that putting their savings to work is essential to building long-term wealth. According to the CNCGP (the national chamber of financial advisors, “Chambre Nationale des Conseils en Gestion de Patrimoine”), and their last report in 2025, called Baromètre 2025, France was counting in 2023, 23,16 structures providing financial advisory services to French customers. In 2024, this number rose to 2,439, which represents a +5,3% increase. This number is expected to grow, since according to studies made by Statista in October 2025, the number of assets under management by wealth managers in France should rise at a rate of +1,6% per year until between 2025 and 2029. This means that they will have that wealth managers will have to deal with more and more clients and therefore, investments. Certain structural issues in France, such as the pension system, are beginning to reveal their limitations, making it important for individuals to no longer rely solely on the State to finance their post-career years. As a result, the wealth management industry presents significant opportunities for the future. This profession also represents a balance between market finance, corporate finance, and client relationship management, fields that are deeply interconnected in the day-to-day practice of the role.

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Useful resources

Labotka, D. (2023) Why do investors ‘break up’ with their financial adviser? Morningstar.

Autorité des Marchés Financiers Horizon de placement

European Fund and Asset Management Association (EFAMA) UCITS

Macrotrends S&P 500 Historical chart

French Family Office Association (AFFO) Family Office : Definition and Mission

Leclerc C. (26/09/2025) Les family offices au service des patrimoines sophistiqués ClubPatrimoine.

Chambre Nationale des Conseils en Gestion de Patrimoine (CNCGP) Baromètre 2025, état des lieux de la profession.

Statista (October 2025) Wealth Management – Data for France

About the author

The article was written in December 2025 by Jules HERNANDEZ (ESSEC Business School, Global Bachelor in Business Administration (GBBA), 2021-2025).

   ▶ Read all articles by Jules HERNANDEZ.