Applied AI & Data Product Scientist

This is a rare opportunity to sit at the intersection of artificial intelligence and Finance transformation - not just supporting the strategy, but building it with your own hands.

You'll architect the next generation of Artificial Intelligence-driven analytics and decision-support products for one of the world's leading asset and wealth management businesses.

If you thrive on shipping products that stay ahead of the curve and solving the hardest data problems in the room, this role was designed for you.

Join a team where your code, your models, and your ideas directly shape how Finance leaders make decisions.

The impact here is tangible, visible, and yours to own.

As a Vice President - Applied Artificial Intelligence and Data Product Scientist in the Finance Transformation and Analytics team within Asset and Wealth Management Finance, you will be an individual contributor who spends roughly 60% of your time hands-on building and 40% shaping strategy, roadmaps, and best practices.

You will own two complementary mandates: first, researching, prototyping, and hardening next-generation AI capabilities so they are production-ready before the current product cycle completes; and second, diagnosing and fixing the structural data problems that undermine both AI and traditional reporting products.

You will partner closely with Finance stakeholders, data engineering, and platform teams, but your primary value is building - writing code, training models, designing data architectures, and delivering working products that move measurably faster than the problems they solve.

Job Responsibilities


* Lead research and rapid prototyping of emerging AI capabilities - including agentic workflows, multi-agent orchestration, retrieval-augmented generation, and advanced forecasting - converting validated proofs of concept into production-grade products on a defined timeline


* Maintain a rolling 6-12 month innovation pipeline by identifying, evaluating, and experimenting with new models, frameworks, and techniques so the team always has a next release in development


* Architect, build, and scale large language model agents and AI-driven solutions for Finance workflows, integrating with APIs, microservices, reporting tools, and cloud platforms


* Design evaluation harnesses, guardrails, and human-in-the-loop review processes for every AI product from prototype through production


* Translate model outputs into user-friendly insights, analytics, and decision-support surfaces for Finance leadership and front office partners


* Audit and remediate data quality and lineage gaps across reporting and analytics products so all downstream consumers work from a single source of truth


* Define and implement a data catalogue strategy by inventorying existing assets, consolidating duplicative pipeline logic, standardizing metric definitions, and establishing clear data contracts


* Architect curated and semantic data layers that are consiste...