Product Manager – AI & Data Platforms, Financial Services

within financial services, fintech, or analytics environments.

Proven ability to manage complex data ecosystems across multiple internal and external stakeholders.

Python, PySpark, SQL, Git, HTML, and CSS

Experience leading initiatives that connect

to measurable business outcomes in asset management, trading, or risk analytics.

Analytical mindset with strong quantitative and technical grounding.

AI & Data Platform Development:

Lead the end-to-end deployment of LLM and analytics platforms to improve data-driven decision-making across trading, risk, and portfolio management functions.

Machine Learning Operations (MLOps):

Manage AI model lifecycles, including fine-tuning, evaluation, and performance optimization, ensuring scalability and accuracy for real-world financial datasets.

Data Strategy & Governance:

Define product requirements for data ingestion, annotation, and transformation pipelines supporting analytics, forecasting, and compliance functions.