Up to £200,000 + Bonus + Comprehensive Benefits
The Opportunity
We’re partnering with a leading global hedge fund that is looking to hire a Python Quantitative Developer to join its front‑office technology team.
Working at the intersection of quantitative research, engineering, and trading, you’ll collaborate directly with Portfolio Managers and Quantitative Researchers to build the tools, platforms, and infrastructure that power investment decisions across global markets.
This is a highly visible role where you’ll help transform research into production, delivering scalable technology that directly influences strategy development, trading performance, and portfolio management. You’ll join a collaborative, engineering‑led environment where technology is a key competitive advantage and innovation is encouraged at every level.
What You’ll Be Doing
- Develop and enhance Python‑based research, analytics, and trading platforms.
- Partner with Quantitative Researchers to implement, optimise, and productionise trading models and signals.
- Build and maintain robust data pipelines, backtesting frameworks, and analytics tools.
- Improve the performance, scalability, and reliability of production trading infrastructure.
- Work closely with investment teams to transform research ideas into production‑ready solutions.
- Support the full lifecycle of quantitative strategies, from research and testing through to live deployment.
Front‑Office Exposure – Work directly with Portfolio Managers and Quantitative Researchers on technology that supports live trading and investment decisions.
High Business Impact – Build platforms that enhance research productivity, portfolio construction, and trading performance.
Exceptional Team – Collaborate with world‑class engineers, quantitative researchers, and investment professionals in a highly technical environment.
Cutting‑Edge Technology – Work with large‑scale datasets, sophisticated quantitative models, and modern software engineering practices.
Meritocratic Culture – Enjoy outstanding compensation, significant ownership, and excellent long‑term career progression.
What We’re Looking For
- Degree in Computer Science, Mathematics, Engineering, Physics, Statistics, or another quantitative discipline.
- Strong Python development experience within quantitative finance, trading, or another data‑intensive environment.
- Understanding of quantitative research concepts, including statistics, time series analysis, and risk modelling.
- Experience working closely with Quantitative Researchers, Portfolio Managers, or investment teams.
- Ability to translate research prototypes into scalable, production‑grade software.
- Excellent analytical, communication, and problem‑solving skills.
- Experience supporting systematic trading strategies or quantitative research platforms.
- Knowledge of financial markets, asset classes, or market microstructure.
- Familiarity with distributed computing, cloud technologies, or large‑scale data processing.
If you’re a Python Quantitative Developer looking to work in a front‑office environment where technology and quantitative research have a direct impact on investment performance, we’d love to hear from you.
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