Portfolio Engineering Intern: Shape Robust Portfolios

Capital Fund Management (CFM); Paris; Hybrid; EUR 13,000 - 20,000; Part time

Job summary

Capital Fund Management (CFM) in Paris, France, invites final-year students for a Portfolio Engineering internship focused on directional optimization. You'll observe constraints, build tools, and help translate research signals into invested positions.

Work with the Directional Portfolio Analytics group to design and compare constraint formulations, monitor their impact on realised positions, turnover and risk, and prepare recommendations for future modelling.

Qualifications

• Final-year student in engineering or MSc in applied mathematics, OR in data science, computer science or finance.
• Solid background in convex optimisation; cvxpy familiarity is a plus.
• Strong Python skills (pandas, NumPy) and write clear, tested code.
• Comfort with real production data and with inconclusive findings.
• Knowledge of portfolio construction and financial markets; duality/sensitivity analysis is a plus.
• Good team practices: Git daily, code reviews, clear writing, direct exchanges with Research and IT.

Responsibilities

• Instrument the optimisation process to observe which constraints bind, and their portfolio consequences over historical data.
• Analyse constraint interactions and quantify impact on realised positions, turnover, risk and performance.
• Design one or two alternative constraint formulations and evaluate them against current ones on real historical portfolios.
• Challenge existing choices and identify formulations that may be artefacts rather than deliberate design.
• Formulate recommendations on how current constraint modelling should evolve.

Skills

Convex optimisation

Portfolio construction

Team practices

Education

Engineering school or MSc in applied mathematics/OR/data science/CS/finance

Tools

cvxpy

Python (pandas, NumPy)

Git

Job description

Capital Fund Management (CFM) in Paris, France, invites final-year students for a Portfolio Engineering internship focused on directional optimization. You'll observe constraints, build tools, and help translate research signals into invested positions.

Work with the Directional Portfolio Analytics group to design and compare constraint formulations, monitor their impact on realised positions, turnover and risk, and prepare recommendations for future modelling.