at Millennium
Hedge FundsPosted a month ago
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**Quantitative Developer - Python** Millennium, leading global hedge fund, seeks a **Quantitative Developer** in Bangalore. You'll join the Enterprise Risk Technology team, leveraging Python and data libraries to create data-driven solutions. Your key responsibilities include developing multi-asset analytics and risk models, building microservices, managing AWS cloud applications, and collaborating with global teams. Must-have skills include strong analytical skills, proficiency in Python and data analysis libraries, experience with REST APIs, SQL databases, and Unix/Linux. Desirable skills include hands-on AWS experience, familiarity with financial services instruments, and a Bachelor's degree in Computer Science from Tier 1 colleges.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Quantitative Developer (Python)
Location: Bangalore
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.
Bachelors degree in Computer Science & Engineering from Tier 1 colleges.
