Operations Control Specialist, Applied AI/ML

Millennium; New York (NY); Presencial; USD 160.000 - 250.000; Jornada completa

Descripción de la vacante

Millennium is seeking an experienced data science/AI leader to drive agentic AI workflow design and productionizing AI solutions for cross-functional teams in New York. You will own end-to-end delivery, from discovery to deployment, collaborating with Operations, Risk, Finance, and Enterprise AI.

Strong Python, SQL, and API skills are essential, with a track record of delivering AI into live production. You will guide platform standards, governance, and change management while building robust

Formación

• 8+ years of experience in data science, ML, or automation with hands-on engineering
• Direct experience building with generative AI and LLMs in production environments
• Strong Python (pandas/NumPy) and SQL skills, API development and databases familiarity

Responsabilidades

• Partner with Operations, Middle Office, Finance, and Risk Ops to map workflows and identify AI value
• Own end-to-end delivery across multiple projects from discovery to deployment and impact
• Present roadmaps and progress to senior stakeholders
• Design and develop agentic AI workflows and AI-enabled tools, including LLMs and ML models
• Collaborate with Enterprise AI to align platforms, tooling, and governance
• Advise business teams on AI applications and drive adoption
• Build data pipelines and transformations using SQL, Python, REST APIs
• Deliver production-ready solutions with controls and oversight

Conocimientos

Python

SQL

Data science

Machine learning

AI workflows

Project management

Communication

Herramientas

LLM APIs

retrieval-augmented generation

agent frameworks

tool orchestration

pandas

NumPy

API development

Databases

Descripción del empleo

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.

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.