Lead end-to-end development of AI-driven investment and other domains of analytics products, from concept through deployment
Translate investment research and ML models into scalable, user-facing tools and workflows
Apply strong product management rigor in defining use cases, success metrics, experimentation frameworks, and feedback loops
Collaborate closely with AI Research teams to identify key “hard problems”
Partner with AI research teams to incorporate positive experimental results back into value delivering product work
Partner with AI Platform teams to ensure robust data pipelines, model deployment, and monitoring frameworks
Form and manage cross-functional working groups to deliver value and align scopes
Work with business leaders to identify opportunities where AI can enhance alpha generation and portfolio construction
Establish performance and improvement metrics as AI solutions are tested and scaled
Drive alignment on priorities, timelines, and measurable outcomes

Requirements

Strong academic background in Computer Science, AI/ML, Quantitative Finance, or related field
8-15 years of experience across investment domain, AI/ML, or financial technology
Hands-on experience with machine learning techniques and data-driven modeling
Proficiency in at least one modern programming language (Python, Scala, etc.)
Preference for a functional programming background (Clojure, Haskell, etc.)
Deep understanding of key areas of investment management with hands-on experience is desired
Understanding of multiple functions within asset management is preferred
Familiarity with institutional and/or retail investment products (ETFs, UCITS, structured solutions)
Experience with the frameworks used by modern product-focused technology and fintech firms
Demonstrated ability to translate research into production-ready solutions
Strong analytical thinking with the ability to operate in ambiguous, fast-moving environments
Experience working cross-functionally with engineering, research, and business stakeholders

Benefits

Competitive and valuable range of total rewards — monetary and non-monetary
Annual discretionary bonus
401(k) plan with a generous match
Comprehensive benefits package including healthcare options, insurance, and disability benefits
Employee stock investment program
Learning resources and career development programs
Reimbursement for certain education expenses
Paid time off including vacation, holidays, sick leave, parental and caregiving leave, bereavement, volunteering, floating holidays
Motivational wellbeing program
Onsite fitness center and recreation center (only applicable at certain locations)
Onsite cafeteria (only applicable at certain locations)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdata-driven modelingPythonScalaClojureHaskellinvestment managementproduct managementdata pipelinesmodel deployment

Soft Skills

analytical thinkingcollaborationcross-functional managementcommunicationproblem-solvingadaptabilityleadershiporganizational skillsprioritizationfeedback management