Senior Quant Developer – OTC

dnevo Partners; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

dnevo Partners is seeking a skilled quantitative engineer to design and implement pricing, hedging and optimisation models for live trading across global markets. You will collaborate with researchers and productionize models, while building Python tools for analysis and prototyping as well as robust Java applications to support 24/7 trading.

The role requires advanced Python, experience with optimisation or ML in finance, and a background in electronic or algorithmic trading across liquid

Qualifications

• Advanced Python 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.

Responsibilities

• Design and build quantitative pricing, hedging and optimisation models for 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

Python

Quant modelling

Data analysis

ML for pricing/trading

Education

Mathematics/Physics/Quantitative Finance degree

Tools

Java

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.