Quantitative Developer - Python

We are seeking a skilled Quantitative Developer to join our Enterprise Risk Technology team in Bangalore. As a Quantitative Developer, you will work closely with quants, risk managers, and other technologists in New York, London, and Singapore to develop multi-asset analytics, stress, and Value-at-Risk (VaR) for our in-house risk platform.

Responsibilities:

• Develop data-driven solutions to stakeholders using Python, FastAPI/Django, AWS, and data manipulation libraries such as pandas and polars.
• Collaborate with cross-functional teams to design and implement cloud-based applications on AWS.
• Utilize Git and appropriate DBMS solutions to manage and maintain our risk platform.
• Analyze data to identify trends and insights that inform business decisions.

Requirements:

• Strong analytical skills and problem-solving capabilities.
• Experience working with Python and data analysis libraries such as pandas and polars.
• Experience with REST APIs and cloud services.
• Relational SQL database development experience.
• Unix/Linux command-line experience.

Desirable skills:

• 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.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work with a leading global hedge fund.
• Collaborative and dynamic work environment.
• Professional development opportunities.

If you are a motivated and detail-oriented individual with a passion for data analysis and software development, we encourage you to apply for this exciting opportunity.