Description
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
Core to the health and growth of our business, Millennium’s Information Technology organization develops the flexible, scalable technology and advanced proprietary systems that support the firm’s active, multi-manager platform.
The Risk Technology team builds and runs the platforms that produce the firm’s official VaR, stress, and risk analytics, while also developing the next generation of AI-powered risk tooling.
The team works in a hands-on engineering environment with close partnership across London, New York, Miami, and Bengaluru.
What You'll Do
Build and ship code by contributing to the design and implementation of features and services, with guidance and code review from senior engineers, and see your work through to productionLearn the domain by ramping up on the codebase and core risk concepts, including VaR, stress, and sensitivities, to take on more responsibility over timeHelp build AI-powered risk tooling, including agents, plugins, and integrations that connect large language models to risk data and platforms Write clean, well-tested Java and Python code, participate in code and design reviews, and help uphold engineering standards and best practicesCollaborate closely with engineers across London, New York, Miami, and Bengaluru, and engage with risk managers, quants, and other technologists as you grow into the roleHelp monitor, troubleshoot, and resolve issues across Java and Python services and streaming components to protect data integrity and performanceBring fresh ideas, adopt AI-assisted development and modern tooling, and continue investing in your growth as an engineer
What You Bring
Up to 3 years of software development experience, or you are a strong recent graduate, with hands-on exposure to Java and/or Python (e.g., Core Java, collections, basic concurrency; interest in Java 17+)Solid computer science fundamentals, including object-oriented design, data structures, and algorithmsBachelor’s degree in Computer Science, Engineering, or a related technical field from a leading institution, or equivalent experiencePractical coding experience through academic projects, internships, or early professional work, with clear evidence of building solutions end to endInterest in AI/ML and large language models, and enthusiasm for building AI-powered applications; hands-on experience through projects, internships, or coursework is a plusBasic knowledge of relational SQL databases, such as Postgres or SQL Server, and willingness to work on the Unix/Linux command lineFamiliarity with Git, along with an eagerness to learn CI/CD, including Jenkins, and modern DevOps practicesStrong communication skills and the confidence to ask questions, seek feedback, and engage in a demanding front-office environmentAn entrepreneurial, can-do mindset, with curiosity, initiative, and a genuine eagerness to learn and improve.
Experience with LLMs, event-streaming platforms, distributed systems, TypeScript/JavaScript, Angular, AWS, or financial markets is a plus
