Quantitative Analyst, Front Office (Calypso)

Nasdaq; Paris; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Competitive base salary

Annual bonus

Equity grant

Pension plan with Nasdaq contribution

Health insurance

Hybrid work setup

Paid time off to volunteer

Mentoring program

Job summary

Nasdaq is seeking a Quantitative Analyst in Paris to design, implement, and productionize pricing and risk models across asset classes. You will work with clients’ quantitative analysts and traders to calibrate and extend models while collaborating with engineering on performance optimizations.

The role emphasizes strong mathematical foundations, production-grade coding, and cross-functional communication in a fast-paced environment with hybrid in-office work in Paris.

Qualifications

• PhD (or equivalent) in Mathematics, Physics, Engineering, Computational Finance, or related quantitative field.
• Up to 5 years of derivatives analytics experience as a Quantitative Analyst.
• Strong development proficiency in Java, C++, or C# with collaboration and code-review experience.
• Solid grounding in stochastic calculus, numerical methods (Monte Carlo, PDE, finite difference), and derivative pricing.
• Clear communicator with cross-functional teams including traders and engineers.

Responsibilities

• Develop and maintain pricing, risk, and XVA models across multiple asset classes.
• Translate mathematical specs into production-grade code and own models end-to-end.
• Calibrate, validate, and extend models with clients' QAs and traders.
• Collaborate with Engineering on performance optimization including vectorization and parallel compute.
• Contribute to AI/ML initiatives for model acceleration and validation docs.

Skills

PhD in quantitative field

Derivatives analytics

Java/C++/C#

Stochastic calculus

Communication skills

Education

PhD in a quantitative discipline

Tools

Java

C++

C#

Job description

As a Quantitative Analyst reporting to Senior Quantitative Analyst, you'll play a critical role in designing, implementing, and productionizing the pricing and risk models that power our clients' trading desks globally. You'll thrive in this position if you're analytically rigorous, passionate about building production-grade analytics, and energized by working across asset classes in a fast-paced, high-impact environment. Nasdaq Calypso delivers mission-critical risk, regulatory, and trading technology to some of the world's largest financial institutions - and this team sits at the heart of that work.

Key Responsibilities

• Develop and maintain pricing, risk, and XVA models across rates, FX, credit, equity, and commodities asset classes.
• Translate mathematical specifications into high-performance, well-tested production code, owning models end-to-end from derivation through to deployment.
• Partner directly with clients' quantitative analysts and traders to calibrate, validate, and extend models to new products and markets.
• Collaborate with Engineering teams on performance optimization, including vectorization, parallel compute, and adjoint sensitivity techniques.
• Contribute to AI/ML initiatives focused on model acceleration, calibration, and anomaly detection, and produce clear technical documentation for model validation reviews.

Required Qualifications

• 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, covering any asset class.
• Strong development proficiency in Java, C++, or C#, with experience in collaborative development environments including version control and code review practices.
• Solid grounding in stochastic calculus, numerical methods (Monte Carlo, PDE, finite difference), and derivative pricing theory.
• Clear communicator with experience working across global, cross-functional teams including traders, engineers, and clients.

Preferred Qualifications

• Experience with algorithmic differentiation libraries or exposure to XVA, regulatory capital frameworks, or initial/variation margin calculation engines.
• Applied ML/AI in pricing, calibration, or risk contexts using frameworks such as PyTorch, JAX, or scikit-learn.
• Cloud-native development experience and familiarity with contributing to a software provider or sell-side production analytics library.

This position is based in Paris and offers a hybrid work environment with at least 3 days per week in office.

Benefits & Rewards

• Competitive base salary
• Annual bonus
• Annual equity grant
• Employee Stock Purchase Plan offering discounted company shares
• Pension plan with Nasdaq contribution
• 6 additional days off per year
• Extra vacation time based on tenure
• Work from (almost) anywhere – up to 20 days/year
• Paid time off to volunteer
• Health insurance
• 24/7 mental health support for you and your family
• Global mentoring program
• Unlimited access to e-learning platforms
• Hybrid work setup
• Modern and comfortable work environment with fresh fruit, snacks, and weekly fika breaks.

Learn more on our Nasdaq Benefits & Rewards Career Page.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.