Back to jobs

Quantitative Analyst, Front Office (Calypso)

Paris

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Nasdaq

What you’ll work on

Full posting
  • Develop and maintain pricing, risk and XVA models across multiple asset classes

  • Turn mathematical specifications into well-tested, high-performance production code

  • Calibrate, validate and extend models with clients' quants and traders

  • Optimize model performance with engineering teams

  • Write technical documentation for model validation reviews

From the employer’s posting
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
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.
produce clear technical documentation for model validation reviews

What you’ll bring

All qualifications

Preferred experience

  • Experience with algorithmic differentiation libraries or exposure to XVA, regulatory capital frameworks, or initial/variation margin calculation engines.
Qualification wording
Experience with algorithmic differentiation libraries or exposure to XVA, regulatory capital frameworks, or initial/variation margin calculation engines.
Education & alternatives
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.

Tools in this posting

  • C#
  • Java
  • PyTorch
  • scikit-learn
  • C++
Source — Tool mentions in context
- 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.
- 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.

Posting record

Report an error

Open 3 monthsWe first saw this posting 104 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 17, 2026 · 104 days ago
Recorded sightings
151
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on nasdaq.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Paris

- 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
More source context
- Unlimited access to e-learning platforms - Hybrid work setup - Modern and comfortable work environment with fresh fruit, snacks, and weekly fika breaks.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.