Quant/ AI Researcher

at  NOVA PROSPECT PTE LTD

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.

QUALIFICATIONS

• Ph.D. in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Math, or other quantitative discipline; exceptional candidates with a Bachelor’s or Master’s degree will also be considered
• Research track record demonstrating that you are driving innovation in your field
• Research or applied experience in machine learning or statistical modeling is a strong plus
• Proficiency in Python, Java, or other modern programming language
• Versatile problem-solving skills, and a drive to succeed
• Desire to learn continuously and increase your impact
• Ability to work closely with other quant researchers in a highly collaborative environment
• Prior work experience in a research role in tech or finance is a plus
• Knowledge of financial markets or the crypto industry is a plus but not required – we will invest in the right candidate

• Conduct cutting-edge alpha and strategy research for crypto assets, using state-of-the-art machine learning methods and statistical modeling techniques
• Generate innovative alpha ideas, and explore new datasets for alpha potential, in a collaborative research environment
• Optimize our crypto portfolio and analyze our trading performance
• Work closely with a team of exceptional quant researchers and developers, learn from your peers and industry experts, and help others on the team succeed
• Push your work to production and receive immediate performance feedback
• Become a core contributor to our trading strategy and research platform