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
We offer a competitive, well-rounded rewards package that supports you and your family - inside and outside work. Actual pay depends on your skills, experience, education, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits:
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.