Senior Quant Developer – OTC

dnevo Partners; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Advanced Python

Quantitative modelling

Optimisation techniques

Machine learning in finance

Electronic trading experience

Education

Numerical discipline (Math/Physics/Quant Finance)

Job description

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.