8+ years of experience in data science, machine learning, or automation with a hands-on engineering background.
Direct experience with generative AI technologies, including LLM APIs and agent frameworks.
Advanced proficiency in Python (including pandas and NumPy) and SQL; experience with API development.
Familiarity with HTML, CSS, JavaScript, and modern front-end frameworks like React or Angular.
Strong knowledge of financial derivatives and capital markets; exposure to market-risk concepts is a plus.
Experience in financial services firms or fintechs is preferred.
Ability to translate ambiguous business needs into prioritized solutions with strong project-management skills.
Excellent communication and interpersonal skills, capable of influencing decision-makers.
Responsibilities
Partner with various teams to map workflows and identify impactful AI use cases.
Own end-to-end delivery of multiple concurrent projects from discovery to impact measurement.
Present proposals and progress updates to senior stakeholders to secure support.
Lead the design and development of AI workflows and tools that automate operational tasks.
Collaborate with the Enterprise AI team to align on standards and governance.
Advise business teams on AI applications and drive adoption.
Build data pipelines and transformations using SQL, Python, and REST APIs.
Deliver production-ready solutions with necessary controls and oversight.
Benefits
Comprehensive benefits package including health and wellness programs.
Discretionary performance bonus based on individual and company performance.
Opportunities for professional development and continuous learning.
Flexible work arrangements to support work-life balance.
Full Job Description
Operations Control Specialist, Applied AI/ML
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.
