Quantitative Developer

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