
Quantitative Developer - Python
at Millennium
Posted 19 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Join the Enterprise Risk Technology team at a top-tier global hedge fund to build Python-based microservices and analytics for an in-house risk platform. Work with technologies like FastAPI/Django, pandas/polars, AWS and relational databases to deliver data-driven solutions. Collaborate closely with quants, risk managers and technologists across New York, London and Singapore to support multi-asset analytics, stress testing and VaR.
Quantitative Developer (Python)
Location: Bangalore
Experience: 2-5 Years
Team: Enterprise Risk Technology
About the role:
Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business.
The Enterprise Risk Technology team is looking for Quantitative Developer. The developer will leverage Python, FastAPI/Django, AWS, and data manipulation libraries to provide data-driven solutions to stakeholders.
Responsibilities:
- Work closely with quants, risk managers and other technologists in New York, London and Singapore to develop multi-asset analytics, stress and VaR for our in-house risk platform
- Develop micro-services using Python and analyze data with pandas/polars.
- Create and manage cloud applications on AWS.
- Utilize GIT and appropriate DBMS solutions
Required skills/experience:
- Strong analytical skills &problem solving capabilities
- Experience working with python, and data analysis libraries (Pandas/Polars)
- Experience with REST APIs and cloud services
- Relational SQL database development experience
- Unix/Linux command-line experience
Desirable skills/experience:
- AWS cloud services: EC2, S3, Aurora, Redshift, etc
- Identity and Access Management: Kerberos, OAuth 2.0, LDAP
- Broad understanding of financial services instruments.
- Bachelor’s degree in Computer Science & Engineering from Tier 1 colleges.





