A buy-side firm is looking for a research engineer responsible to deliver custom software solutions including investigating novel research ideas and evaluating with large-scale experiments; develop scientific libraries to share the finding and processes; build tools and engines to bring platforms and models to live trading. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate delivery of new models to live trading.
Requirements:
- Bachelor’s degree in Computer Science or related field
- 3+ years of related experience
- Any amount of experience designing system for machine learning model training and deployment
- Any amount of experience implementing data engineering pipelines using ETL techniques to produce features and inputs for model inference
- Any amount of experience developing market access controls for real-time equities trading system
- Any amount of experience designing and implementing market simulation software for algorithmic trading strategies
- Proficient in Python/C++
Benefits:
- Benefits: Fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
- Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
- Development: Open environment to maximize learning and knowledge sharing
- Time: Generous PTO, paid holidays, competitive paid caregiver leaves