обновлено 8 дней назад
Quantitative Analyst (Calypso)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Analyst (Calypso) (Pricing and Risk Analytics): Developing and productionizing pricing, risk, and XVA models across rates, FX, credit, equity, and commodities with an accent on high-performance production code, model calibration, and validation. Focus on stochastic calculus, numerical methods, vectorization, parallel compute, adjoint sensitivities, and AI/ML for model acceleration and anomaly detection.
Location: Paris, France; hybrid work environment with at least 3 days per week in the office
Company
Calypso provides risk, regulatory, and trading technology for financial institutions and their trading desks.
What you will do
- Develop and maintain pricing, risk, and XVA models across rates, FX, credit, equity, and commodities.
- Translate mathematical specifications into high-performance, tested production code, owning models from derivation through deployment.
- Work with clients’ quantitative analysts and traders to calibrate, validate, and extend models for new products and markets.
- Collaborate with Engineering on vectorization, parallel computing, and adjoint sensitivity optimization.
- Contribute to AI/ML initiatives for model acceleration, calibration, and anomaly detection.
- Prepare technical documentation for model validation reviews.
Requirements
- PhD or equivalent research experience in Mathematics, Physics, Engineering, Computational Finance, or a related quantitative discipline.
- Up to 5 years of experience in derivatives analytics as a Quantitative Analyst.
- Strong development skills in Java, C++, or C#, with experience in version control and code review.
- Knowledge of stochastic calculus, Monte Carlo, PDE, finite difference methods, and derivative pricing theory.
- Clear communication skills and experience working with traders, engineers, clients, and global cross-functional teams.
- Availability to work in a hybrid setup with at least 3 days per week in the Paris office.
Nice to have
- Experience with algorithmic differentiation libraries, XVA, regulatory capital, or margin calculation engines.
- Applied AI/ML experience in pricing, calibration, or risk using PyTorch, JAX, or scikit-learn.
- Cloud-native development experience and experience contributing to production analytics libraries.
Culture & Benefits
- Competitive base salary, annual bonus, and annual equity grant.
- Employee Stock Purchase Plan with discounted company shares.
- Pension plan with contribution and health insurance.
- Six additional days off per year, extra vacation based on tenure, and paid volunteer time.
- Work from almost anywhere for up to 20 days per year.
- Global mentoring, unlimited e-learning access, mental health support, and a modern office environment.
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