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Job Description
Structured overview of role & requirementsAbout This Role
Develop and enhance multi-asset analytics, stress testing, and Value at Risk capabilities for Millennium’s global in-house risk platform in collaboration with quant and risk teams across multiple locations.
Build Python-based microservices using frameworks like FastAPI or Django to deliver scalable risk analytics solutions.
Manage cloud applications and services on AWS, including data analysis and transformation with pandas and polars, ensuring reliable software delivery with Git and database systems.
Minimum Requirements
Proficient in Python programming and data analysis libraries such as pandas and polars.
Experience developing or working with REST APIs and cloud services, preferably on AWS.
Strong SQL skills with relational database development experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced working in cross-geography teams including New York, London, and Singapore communicating between quant, risk, and technology functions.
Familiarity with cloud infrastructure (AWS) and identity/access management technologies like Kerberos, OAuth 2.0, LDAP is a plus.
Educational background preferably includes a Bachelor’s degree in Computer Science and Engineering from a Tier 1 college with broad understanding of financial services instruments.