Operations Control Specialist, Applied AI/ML

Millennium•New York, NY

7d•$160,000 - $250,000

About The Position

Millennium is seeking an Operations Control Specialist focused on Applied AI/ML to help improve operational processes, controls, and data quality. The role partners with Operations, Middle Office, Finance, Risk Operations, senior stakeholders, and the Enterprise AI team to identify and prioritize valuable AI use cases and deliver solutions from discovery through deployment and impact measurement. The specialist leads the design and development of AI-enabled tools and agentic workflows, including solutions using LLMs and machine-learning models. The role also builds data pipelines and transformations, advises teams on AI adoption, and delivers production-ready systems with appropriate controls, auditability, and human oversight. Close collaboration with Technology, Legal, Compliance, Information Security, and Finance is required. The estimated base salary range is $160,000 to $250,000 for New York. Total compensation includes base salary, a discretionary performance bonus, and comprehensive benefits.

Requirements

At least 8 years of experience in data science, machine learning, or automation, with a strong hands-on engineering background and a record of delivering AI solutions into live production while working directly with business users.
Direct experience building generative AI solutions, such as LLM APIs, retrieval-augmented generation, agent frameworks, and tool orchestration, and practical understanding of limitations and risks in regulated environments.
Advanced proficiency in Python, including pandas and NumPy, and SQL; experience in API development and databases.
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.
Ability to translate ambiguous business needs into well-scoped, prioritized solutions, with strong project-management discipline.
Excellent communication, presentation, and interpersonal skills, including the ability to influence decision-makers and explain technical concepts to non-technical audiences.
Entrepreneurial self-starter who thrives in a fast-moving, high-pressure environment and works urgently to meet tight deadlines.

Nice To Haves

KDB experience is a plus.
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.

Responsibilities

Partner with Operations, Middle Office, Finance, and Risk Operations teams to map workflows, identify high-impact AI opportunities, prioritize use cases by value, feasibility, and risk, and develop business cases.
Own end-to-end delivery of 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 expectations.
Lead the design and development of agentic AI workflows and AI-enabled tools, including LLMs, machine-learning models, and multi-step agents, to automate operational tasks and surface risks early.
Collaborate with the Enterprise AI team on platforms, tooling, standards, governance, reuse of firm-wide capabilities, and business requirements for the enterprise AI roadmap.
Advise business teams on AI applications, share best practices, and drive adoption and change management.
Build data pipelines and transformations using SQL, Python/pandas, databases, and REST APIs to support reliable data for AI and analytics.
Deliver production-ready solutions with appropriate controls, auditability, and human oversight, collaborating with Technology, Legal, Compliance, Information Security, and Finance.