The master’s program in Probability and Finance at Sorbonne University, better known as the El Karoui master’s, trains a small cohort of specialists in financial mathematics each year. Established in 1990 and co-accredited with École Polytechnique, in partnership with ENS and ESSEC, this program remains a reference in quantitative finance. The career paths of its graduates outline a professional landscape that has significantly evolved in recent years, beyond the historical role of quant pricer on trading floors.
Career Opportunities for El Karoui Graduates Beyond Investment Banking
The career opportunities for El Karoui graduates now exceed structuring and pricing positions in investment banking. Since 2023, the rise of generative artificial intelligence and machine learning applied to markets has reshuffled the deck.
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Quantitative funds like Capital Fund Management, Man AHL, or Squarepoint are now explicitly targeting profiles trained in stochastic calculus and advanced probabilities for roles in quant research and machine learning applied to markets. These buy-side positions, long marginal in the trajectories of graduates, represent a growing pool.
A detail on the El Karoui master’s salary on Monsieur Formation highlights how much these new trajectories influence salaries right out of school.
The other notable evolution concerns profiles referred to as “hybrid quant/data scientist.” Several job postings published between 2024 and 2025 are seeking candidates capable of combining stochastic models and data engineering tools. The typical El Karoui graduate is no longer just a derivatives product modeler: they can also work on portfolio optimization, algorithmic trading, or quantitative research applied to alternative asset classes.
Starting Salaries for El Karoui Graduates: What the Data Shows
The available content mentions “very high” salaries for El Karoui graduates without always updating their sources. The often-cited figures date back to 2018-2020. The situation has changed.
Since the rise in inflation and what the sector calls the “quant talent war” (post-2021), junior packages in Paris have been revalued. Several factors explain this trend:
- The direct competition from Anglo-Saxon hedge funds and European quantitative funds, which offer aggressive compensation to attract the best mathematical profiles right from their internships.
- The scarcity of candidates combining skills in stochastic calculus and mastery of modern programming tools (Python, C++, machine learning frameworks).
- The repositioning of Parisian investment banks, forced to align their salary scales in the face of talent flight to the buy-side or to tech positions abroad.
In London, the exit packages for an El Karoui profile remain higher than those offered in Paris, but the gap has narrowed in recent years. The available data does not allow for precise quantification of this gap, as packages vary significantly depending on the structure (bank, fund, prop trading) and the position held.
Variable and Bonus: The Weight of the Performance Component
In quantitative finance, the variable portion can represent a significant fraction of the total package, sometimes equivalent to the fixed salary after a few years of experience. For a junior, the bonus often depends on the desk or research team, not solely on individual performance. This mechanism makes salary comparisons between graduates of the same cohort tricky, as two quants hired in the same year at two different banks may have very different total compensations after two years.
Internships in Quantitative Finance: The Real Recruitment Filter
The end-of-studies internship for the El Karoui master’s acts as an entry point into the profession. The majority of permanent hires are decided at the conclusion of this internship. This is a well-known practice in market finance, but its implications deserve clarification.
The choice of internship often determines the trajectory of the first three to five years of a career. An internship in structuring at a French bank leads to pricing and exotic modeling positions. An internship at a quantitative fund opens doors to alpha research and systematic trading.
Students of the El Karoui master’s benefit from a particularly active alumni network in the Parisian and London trading rooms. However, for buy-side positions outside these two financial hubs (Zurich, Amsterdam, Singapore), the network remains less structured. Candidates must then rely more on their pure technical skills and on research projects published during the master’s program.
Profiles Sought by Recruiters in 2025
The respective importance of pure mathematics and programming in the selection criteria varies by desk. Some still prioritize mathematical rigor (mastery of PDEs, Lévy processes, Malliavin calculus). Others, particularly in algorithmic trading, place equal importance on the candidate’s ability to produce clean and efficient production code.
The most sought-after skills during internships and early positions include:
- Applied stochastic modeling (pricing, model calibration, risk management)
- Advanced programming in Python and C++, with an appetite for machine learning tools
- Ability to communicate technical results to non-mathematicians (traders, risk managers, portfolio managers)
Medium-Term Career After the El Karoui Master’s: Possible Divergences
After five to ten years of experience, El Karoui graduates tend to follow quite distinct paths. Some remain in pure quantitative finance, moving towards model management or head of quant research positions. Others diverge into portfolio management or senior risk management.
The shift towards data science or applied AI outside finance has been an observable trend for several years. Tech companies and specialized startups are recruiting these profiles for their ability to model uncertainty, a skill directly transferable from options pricing to predicting user behaviors or optimizing logistics.
The El Karoui master’s does not guarantee a linear path to the highest salaries in the financial sector. The technical foundation and network it provides, combined with thoughtful choices of internships and early positions, guide careers in quantitative finance, data science, or asset management based on the divergences taken in the early years.