Senior Quant Developer – OTC

dnevo Partners

Greater London

Presencial

GBP 120.000 - 180.000

Jornada completa

14 días+

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Descripción de la vacante

dnevo Partners is hiring a quantitative developer to design and build pricing, hedging and optimisation models for live trading in a global fintech environment. You will collaborate with researchers to translate complex models into scalable, production-ready solutions and develop Python tools for data analysis and model prototyping.

You will also build resilient Java applications that support continuous, 24/7 trading across major markets.

Formación

  • Advanced Python skills for quantitative modelling and data analysis.
  • Experience with optimisation techniques or ML in pricing/trading or financial modelling.
  • Degree in Mathematics, Physics, Quantitative Finance or another highly numerical discipline.

Responsabilidades

  • Design and build quantitative pricing, hedging and optimisation models used in live trading environments.
  • Partner with quantitative researchers to turn complex models into scalable, production-ready solutions.
  • Develop Python tools for research, data analysis and model prototyping.
  • Build resilient, distributed Java applications that support 24/7 global trading.
  • Enhance pricing strategies through client flow analytics and automated hedging techniques.

Conocimientos

Advanced Python
Quantitative modelling
Optimisation techniques
Machine learning in finance
Electronic trading experience

Educación

Numerical discipline (Math/Physics/Quant Finance)

Descripción del empleo

Join an innovative global fintech at the forefront of digital markets, where cutting-edge technology and quantitative research come together to shape institutional trading. This is an opportunity to build high-performance pricing and trading solutions that have a direct impact on global markets.

What you'll be doing
  • Design and build quantitative pricing, hedging and optimisation models used in live trading environments.
  • Partner with quantitative researchers to turn complex models into scalable, production-ready solutions.
  • Develop Python tools for research, data analysis and model prototyping.
  • Build resilient, distributed Java applications that support 24/7 global trading.
  • Enhance pricing strategies through client flow analytics and automated hedging techniques.
What we're looking for
  • Advanced Python skills for quantitative modelling and data analysis.
  • Experience applying optimisation techniques or machine learning to pricing, trading or financial modelling.
  • Background in electronic trading, client pricing or algorithmic trading across liquid markets such as FX, equities, ETFs or digital assets.
  • Degree in Mathematics, Physics, Quantitative Finance or another highly numerical discipline.

If you're excited by solving complex quantitative problems, working alongside researchers, and building technology that powers real-time global trading, we'd love to hear from you.

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