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Job Description
Working within a leading quantitative and financial technology business, you will enable the continued growth and success of the business. Working closely with multiple teams specialising in the financial and derivatives domain to bring ideas to life with their inhouse tools and market knowledge.
- Techs include: Python, Bayesian Modelling, C# + more
- Create and build core capabilities and assisting researchers
- Testing frameworks for validating strategies in a simulated environment
- Monitor ongoing performance to enhance product
- Research tooling for UX and workflows for the Research team
- Ensure Optimisation of trading systems performance and scalabilities, enabling new capabilities
About you
- 3 + years experience within a Quantitative Developer role, low-level optimisation and simulation engine experience
- Strong proficiency in Python algorithmic and Bayesian development
- Experienced in re-architecting systems from research to production for ML models
- Proactive and end-to-end ownership from inception to delivery
- Strong mathematical background with a BSc/MSc in Statistical Mathematics or relative field
This company offers numerous attractive benefits beyond the base salary, enabling you to grow personally and professionally while working from home or in the office.
The role on offer is a Hybrid role (minimum 2 days in office).
