Quantitative Analyst, Front Office (Calypso)

Overview

As a Quantitative Analyst reporting to a Senior Quantitative Analyst, you will design, implement, and productionize pricing and risk models that power clients’ trading desks globally. This role emphasizes analytical rigor, production-grade analytics, and cross-asset work in a fast-paced, high-impact environment within Nasdaq Calypso’s risk, regulatory, and trading technology domain.

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 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.

Location and Work Model

This position is based in Paris and offers a hybrid work environment with at least 3 days per week in the 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
• Additional time off and flexible work options
• Health insurance and 24/7 mental health support
• Global mentoring program and access to e-learning platforms
• Hybrid work setup and modern office environment

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 are valued. We provide reasonable accommodation throughout the hiring process for individuals with disabilities. We are a global team of over 8,500 innovators across 38 countries, united by a shared purpose: advancing economic progress for all. Join our Talent Community to stay informed about upcoming roles and opportunities across Nasdaq.