Role Overview: The Quantitative Research Engineer will enhance the firm's data and research platforms. This role involves working closely with quantitative researchers to develop innovative tools and systems, streamlining research processes and improving data analysis and simulation capabilities. The ideal candidate will possess strong technical skills, problem-solving abilities, and effective teamwork.
Key Responsibilities:
- Collaborate with researchers to understand workflows and provide technical solutions.
- Develop and maintain software tools and frameworks for research activities.
- Implement advanced data processing techniques and statistical methods.
- Build scalable systems for large-scale data analysis and experimentation.
- Conduct code reviews and mentor junior engineers.
- Integrate research tools into existing infrastructure.
- Evaluate and implement third-party tools and data sources.
- Contribute to research discussions and improve methodologies.
- Maintain documentation and training materials.
Qualifications:
- 4+ years of experience with quantitative research and alpha strategies, preferably at a hedge fund.
- Master's or Ph.D. in Computer Science, Engineering, Data Science, or related field.
- Exceptional Python programming skills.
- Experience with graph analysis tools like NetworkX and distributed computing tools like Dask or Ray.
- Proficiency in data processing, analysis, and visualization.
- Understanding of statistical modeling and machine learning applications.
- Knowledge of L1, L2, and L3 market tick data.
- Experience with AWS, Linux, and Docker.
- Strong problem-solving and communication skills.
- Experience mentoring junior team members is preferred.
