Jobs and Careers
FI

Quantitative Analyst

Finastra
Francefull_timeVerifiedPosted 14 Aug 2025

About the role

Who are we?


At Finastra, we are a dynamic global provider of open finance software solutions, dedicated to expanding access to financial services. Our innovative applications span Lending, Payments, Treasury and Capital Markets, and Universal Banking. Proudly serving over 8,000 customers, including 45 of the world's top 50 banks, we aim to boost financial inclusion for all. Join us and be part of a vibrant company that embraces diverse perspectives, and is committed to doing well by doing good.

Launch your career in quantitative finance with a team that values innovation, collaboration, and continuous learning.

We’re looking for a Quantitative Analyst to join our cross-asset quant team in Paris. You’ll contribute to the development of our Python-based analytics library, supporting pricing, risk, and market data for a wide range of financial products.

This is a fantastic opportunity to grow your skills in a high-impact, intellectually stimulating environment.

Why This Role?

  • Real-World Impact: Your work will directly support traders and risk managers across global markets.

  • Learning & Growth: Gain exposure to multiple asset classes and advanced analytics, with mentorship from experienced quants.

  • Collaborative Culture: Work in a supportive, Paris-based team that values curiosity, teamwork, and continuous improvement.

  • Work-Life Balance: Enjoy regular working hours in one of Europe’s most vibrant cities.

What You’ll Do

  • Design fast, stable, and production-ready algorithms for financial analytics

  • Research and implement models across interest rates, FX, equities, commodities, and credit

  • Validate model assumptions, theory, and implementation

  • Build and maintain Python-based analytics tools

  • Investigate and resolve issues in model outputs and analytics

  • Collaborate with cross-functional teams to deliver high-quality solutions

What We’re Looking For

  • Degree (Undergraduate, Master’s, or PhD) in Finance, Mathematics, Physics, Engineering, or Statistics from a French university or grande école (or equivalent)

  • 3+ years of experience in quantitative finance, including hands-on work with derivatives pricing models

  • Strong analytical skills and knowledge of stochastic calculus and financial modelling

  • Proficient in Python, with experience in numerical implementation

  • Fluent in French and English (mandatory)

  • Proactive, dynamic, and open to discussion – we value team players who are eager to learn and share ideas

What You’ll Gain

  • Broad exposure to front office and market risk analytics

  • Opportunity to work on a cross-asset quantitative library

  • Career development in a high-impact, technically rigorous environment

  • Competitive compensation and benefits

Ready to take the next step in your quant career?

Apply now and join a team where your ideas, curiosity, and growth matter.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold:


·       Flexibility: Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave.

·       Well-being: Access confidential one-on-one therapy through our Employee Assistance Program, unlimited personalized coaching via our coaching app, and access to our Gather Groups for emotional and mental support.

·       Medical, life & disability insurance, retirement plan, lifestyle and other benefits*

·       ESG: Benefit from paid time off for volunteering and donation matching.

·       DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra).

·       Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

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Company

Finastra

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