Millennium
Website:
mlp.com
Job details:
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
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.
What You'll Do
- 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 Millennium’s 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
What You Bring
- 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 Bachelor’s degree in Computer Science & Engineering from a Tier 1 college
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