Quantitative Developer
Listed on 2026-07-01
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Software Development
Data Scientist, Software Engineer, Machine Learning/ ML Engineer
Senior Quant Developer
2
Bridge has been engaged in the search for a direct-hire Senior Quant Developer for an innovative Fin Tech company. The company has secured a significant Series A funding round and is expanding its team. It is looking for a Senior Quant Developer to enhance its technological capabilities as it scales.
Role
Summary:
You'll play a crucial role in developing quantitative models and algorithms vital for the company's financial products and services.
Compensation and Benefits:
Our client offers Total Compensation between 250,000 and 350,000, split between a base and performance-based bonus. For the right person, there is potential for equity. They also offer a comprehensive benefits package including Medical, Dental, Vision, 401k, 24 days PTO, and all NYSE Holidays, Etc. This is a hybrid role, onsite one day a week, in one of their offices in either NYC or Stamford.
Responsibilities:
- Develop and enhance quantitative models and algorithms for performance and scalability.
- Collaborate with teams to integrate quantitative solutions into broader system architectures.
- Validate models for correctness and edge-cases.
- Maintain market data handlers, data models, and valuation cache.
- Stay updated with industry trends and incorporate advanced quantitative techniques as applicable.
Qualifications:
- Bachelor's or preferably an MS in Quantitative Finance, Computer Science, Mathematics, or a related field.
- 3-5 years experience in Quantitative Development within financial services, specifically with Trade Cost Analysis in Fixed Income, Corporate Bonds, non-vanilla swaps, and other OTC Derivatives.
- 5 years experience in Java or C#,.Net, Bonus points for expertise in Python.
- Extensive experience with Analytics Libraries such as Quant Lib, Fin Cad, Numerix, etc.
- Experience with time series databases like One Tick, KDB, InfluxDB.
- Experience with machine learning algorithms and their applications in financial modeling.
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