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