Quick overview
SeniorityMid Senior
Work modeHybrid
LocationBoston, MA, United States
C++JavaPythonData Analysis
Job description
A company in the financial sector is seeking a Quantitative Developer to join their team. In this role, you will use your strong mathematical, statistical, and programming expertise to design, implement, and optimize quantitative models for trading, risk management, and data analysis.
The ideal candidate will have experience collaborating with quantitative analysts and traders to turn research algorithms into high-performance, production-ready code, using languages such as Python, C++, or Java. This opportunity is perfect for someone who has a deep understanding of financial markets, robust software engineering skills, and thrives in a fast-paced, collaborative environment committed to continuous innovation.
Must have professional, post-graduate experience. Internships or academic work do not count toward requirement.
Required Skills & Experience
Daily Responsibilities
The ideal candidate will have experience collaborating with quantitative analysts and traders to turn research algorithms into high-performance, production-ready code, using languages such as Python, C++, or Java. This opportunity is perfect for someone who has a deep understanding of financial markets, robust software engineering skills, and thrives in a fast-paced, collaborative environment committed to continuous innovation.
Must have professional, post-graduate experience. Internships or academic work do not count toward requirement.
Required Skills & Experience
- 3+ years of professional experience. Internships and academic work do not count toward requirement
- Experience with high-frequency trading or low-latency systems
- Solid understanding of algorithms, data structures, and software engineering principles
- Programming skills in Python, Java, C++, etc.
- Bachelor's degree in Computer Science or related field
- Cloud computing and distributed systems
- Advanced degree in a quantitative field
Daily Responsibilities
- 70% Hands On
- 30% Team Collaboration
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