A quantitatively driven investment firm building technology to uncover opportunities in financial markets. Our team combines market expertise with strong engineering to move ideas quickly from research to live trading.
The Role
You’ll help design and operate the data and simulation systems that support research and trading. The work includes building Python-based pipelines, supporting the migration of research code into production, and collaborating closely with researchers, engineers, and senior trader/portfolio manager on real-time market data needs.
What You’ll Do
- Build and maintain scalable data pipelines and internal tools
- Support simulation and research infrastructure
- Ensure data quality through validation and monitoring
- Help operate and improve production systems
- Work closely with trading and research teams on live market data
What We’re Looking For
- Degree in a technical or quantitative field
- 3-7 yrs of practical/commercial software development experience
- Strong Python experience with data-focused systems
- Experience in backend development/strong knowledge of databases, as well as distributed systems, and OOP principles
- Strong problem-solving skills and comfort with ambiguity
Nice to Have
- Experience with ML models, time-series data, or cloud platforms
- Experience with market data
- Interest in financial markets
- Startup or small-team experience
Why Join
- High-impact role in a growing team
- Challenging, real-world trading problems
- Competitive compensation and benefits
