At a Glance
- Tasks: Develop cutting-edge software solutions for finance using C++ and Python.
- Company: Join a high-performance systematic prop trading business with a dynamic team.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on research and development.
- Why this job: Make an impact in finance by building innovative trading models and systems.
- Qualifications: Strong C++ and Python skills, plus a Computer Science degree from a top university.
The predicted salary is between 63000 - 77000 Β£ per year.
Overview
Join a small high-performance Systematic Prop Trading business.
Working as part of the Quant Research team, to analyse data, build models & signals for alpha generation, and manage risk.
Responsibilities
- Develop software solutions that leverage sophisticated statistical techniques and technologies to answer the most challenging questions in finance.
- Collaborate closely with Quants, Traders, and Developers β researching, developing, and testing execution and trading models.
- Enhance and build a research infrastructure that can handle hundreds of thousands of tick-level signals.
- Build a comprehensive, multi-market trading system to capitalize on relative value and statistical arbitrage opportunities.
Qualifications
- Excellent C++, strong Python skills, and experience deploying code in production environments where performance matters.
- A Computer Science degree from a top 20 university.
- #J-18808-Ljbffr
Algorithm Engineer (C++ & Python) employer: Durlston Partners
Join a dynamic and innovative FinTech company that is redefining cross-border payments with a fully remote work culture that promotes flexibility and autonomy. With competitive compensation, including equity options, and a strong focus on employee growth, you'll have the opportunity to make a significant impact while collaborating with a globally distributed team. This role offers a unique chance to take ownership of product development in a high-growth environment, ensuring your contributions are both meaningful and rewarding.