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
The Operations & Middle Office team works across departments and regions, partnering with senior management, the Operations Control team, and external counterparties to drive continuous improvement. The team focuses on streamlining processes, strengthening controls, and improving data quality across the firm.
What You’ll Do
- Partner with Operations, Middle Office, Finance, and Risk Operations teams to map workflows, identify where AI can have the greatest impact, and prioritize use cases by value, feasibility, and risk, supported by clear business cases
- Own end-to-end delivery across multiple concurrent projects, from discovery and rapid prototyping through build, deployment, and impact measurement
- Present proposals, roadmaps, and progress updates to senior stakeholders to secure support and set clear expectations
- Lead the design and development of agentic AI workflows and AI-enabled tools, including LLMs, ML models, and multi-step agents, that automate daily operational tasks and surface risks early, staying hands-on where it adds value
- Collaborate with the Enterprise AI team to align on platforms, tooling, standards, and governance, reuse firm-wide capabilities, and feed business requirements into the enterprise AI roadmap
- Advise business teams on where and how to apply AI, share best practices, and drive adoption and change management
- Build data pipelines and transformations using SQL, Python/pandas, databases, and REST APIs to ensure accurate, reliable data as a foundation for AI and analytics
- Deliver production-ready solutions with appropriate controls, auditability, and human oversight, working with Technology, Legal, Compliance, Information Security, and Finance
What You Bring
- 8+ years of experience in data science, machine learning, or automation, with a strong hands-on engineering background and a track record of delivering AI solutions into live production while working directly with business users
- Direct experience building with generative AI, such as LLM APIs, retrieval-augmented generation, agent frameworks, and tool orchestration, plus a practical understanding of its limitations and risks in a regulated environment
- Advanced proficiency in Python (including pandas and NumPy) and SQL, with experience in API development and databases; KDB is a plus
- Experience with HTML, CSS, JavaScript, and a modern front-end framework such as React or Angular
- Strong knowledge of financial derivatives, financial products, and capital markets; exposure to market-risk concepts, sensitivities, and the trade lifecycle is a significant plus
- Experience at financial services firms, fintechs, or similar environments is preferred
- Skill in translating ambiguous business needs into well-scoped, prioritized solutions, with strong project-management discipline
- Excellent communication, presentation, and interpersonal skills, with the ability to influence decision-makers and explain technical concepts to non-technical audiences; an entrepreneurial self-starter who thrives in a fast-moving, high-pressure environment and works with urgency to meet tight deadlines
Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.