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    Job · 15160380

    Millennium Consulting logo

    Quantitative Developer - Python

    Millennium Consulting · Bengaluru · onsite · Posted 50d ago

    Undisclosed2–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Quantitative Developer - Python Meet the Team
    Enterprise Risk Technology sits within Millennium's Information Technology organization, which is core to the health and growth of the firm. The team supports a flexible, scalable technology environment and advanced proprietary systems that help power next-generation analytical capabilities across the business. Working closely with global partners, the team focuses on building and enhancing technology that supports risk analytics and data-driven decision-making across asset classes.
    Responsibilities
    • Partner with quants, risk managers, and technologists across New York, London, and Singapore to build and enhance multi-asset analytics, stress testing, and VaR capabilities for Millenniums in-house risk platform
    • Develop Python-based microservices using frameworks such as FastAPI or Django to deliver scalable, reliable solutions
    • Analyze and transform large datasets using pandas, polars, and related data libraries to support business and risk objectives
    • Build, deploy, and maintain cloud-based applications and services in AWS
    • Contribute to robust development workflows using Git and appropriate database technologies
    • Support the delivery of data-driven tools and applications for stakeholders across the risk technology ecosystem
    Requirements
    • Strong analytical and problem-solving skills, with the ability to work through complex technical and business challenges
    • Hands-on experience with Python and data analysis libraries such as pandas and polars
    • Experience designing or working with REST APIs and cloud-based services
    • Strong relational database and SQL development experience
    • Solid Unix/Linux command-line skills
    • Familiarity with AWS services such as EC2, S3, Aurora, and Redshift is a plus
    • Exposure to identity and access management concepts and tools such as Kerberos, OAuth 2.0, and LDAP is a plus
    • Broad understanding of financial services instruments, along with a Bachelors degree in Computer Science Engineering from a Tier 1 college

    Sourced from naukri

    Skills

    AuroraapisldapAws Servicesdatabase technologiesamazon web servicesKerberosidentity and access managementDjango FrameworkOAuthAnalyticsEnterprise RiskAWS EC2cloudMicroservicesFinancial ServicesInformation Technologydata analysisGITLinux

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