Introduction
- Nova Prospect is a systematic prop trading firm, founded by industry experts who previously built some of the most successful businesses in quant finance and blockchain. This is a rare opportunity to join a growing A-team with incredible talent density, meritocratic culture, no politics and razor-sharp focus on outcome.
- The ideal candidate is demonstrably among the best in their field, highly ambitious and a proven problem-solver with excellent judgement. Successful candidates will have the opportunity to learn from the best, grow their role significantly over time and build a highly rewarding, long-term career in systematic trading.
Responsibilities
- Build out a next generation research platform that is leveraged by our quant researchers for alpha and strategy research
- Develop scalable, distributed and highly performant systems for production trading and portfolio management including automated production, deployment and real-time monitoring pipelines
- Collaborate closely with a team of exceptional software engineers and quantitative researchers
- Play a crucial role across our entire systematic trading pipeline, learn from your peers and industry experts, and help others on the team succeed
- Become a core contributor to our trading strategy and research platform
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
- Prior internships or full-time work experience that demonstrate your ability to architect and implement complex software systems to solve real-world problems
- Exceptional software design and development skills in Java or Python
- Expertise in object-oriented design and functional programming
- Solid understanding of systems programming or demonstrable experience in distributed systems design and/or implementation
- Experience with workflow systems and highly scalable environments such as Kubernetes is a plus
- Basic knowledge of machine learning methods or statistical modelling techniques. Advanced knowledge is a plus
- Familiarity with cloud environments and Linux
- Versatile problem-solving skills, and a drive to succeed. Desire to learn continuously and increase your impact
- Ability to work closely with other software engineers in a highly collaborative environment
- Knowledge of financial markets or quantitative trading is a plus but not required – we will invest in the right candidate
