Finance Data Science Product Lead

Next Frontier Capital; Newark (DE); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. invites a Data Science Product Associate to transform complex business needs into analytics-driven features for Finance.

You will collaborate with product managers, data scientists, and engineers to define requirements, acceptance criteria, and success metrics tied to outcomes. You will support development and testing of AI/ML models, build executive dashboards, and communicate insights that guide the roadmap.

Qualifications

• Bachelor’s degree in a quantitative field and at least four years in product analytics, business analytics, or data science within a digital or product environment.
• Proficiency in SQL and a data visualization tool; familiarity with cloud data platforms; hands-on experience with AWS and Databricks.
• Proficiency in Python or R for exploratory analysis and model evaluation; experience with time series analysis and modeling, and training or fine-tuning machine learning models.
• Experience with experimentation (A/B testing), cohort analysis, KPIs, and measurement plans for model-powered features.
• Ability to manage multiple workstreams under tight deadlines; strong analytical, problem-solving, and collaboration skills to influence decisions across business and technology.
• In-depth knowledge of data and BI concepts, including ETL, data modeling, and reporting automation.
• Strong storytelling skills to craft clear narratives from complex data for executive audiences.

Responsibilities

• Translate business problems into analytical requirements and clear acceptance criteria; refine epics and write user stories that maximize value.
• Analyze product usage, customer behavior, and model performance to surface insights that inform prioritization and roadmap decisions.
• Build executive-ready dashboards and narratives; design A/B tests and pilots, define success metrics, and evaluate outcomes including ROI.
• Partner with engineering on data validation, lineage, documentation, and control alignment; ensure privacy, security, and model risk requirements.
• Maintain and prioritize a backlog of data enhancements aligned to business outcomes; manage delivery using Agile practices and tooling.
• Facilitate cross-functional forums; synthesize feedback into clear recommendations and communicate complex findings in business language.
• Standardize reporting, create playbooks, and streamline processes for repeatable, scalable insights delivery.
• Support development and testing of AI/ML models and data controls to improve data quality and operational efficiency.

Skills

SQL

Data visualization

Cloud platforms

AWS

Databricks

Python

R

Time series

Experimentation

A/B testing

KPIs

ETL

Data modeling

Reporting automation

Storytelling

Education

Bachelor’s degree in a quantitative field

Tools

Jira

Confluence

Job description

JPMorgan Chase & Co. invites a Data Science Product Associate to transform complex business needs into analytics-driven features for Finance.

You will collaborate with product managers, data scientists, and engineers to define requirements, acceptance criteria, and success metrics tied to outcomes. You will support development and testing of AI/ML models, build executive dashboards, and communicate insights that guide the roadmap.