Corporate Finance – Data Science Product Associate
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Job Location:
Newark, DE - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Join a team building modern data and analytics products that power Finance at scale. Youll partner with product data science and engineering to deliver usercentric capabilities that improve data quality and accelerate trusted reporting. Your work will shape modelpowered features intuitive dashboards and controls that leaders rely on. Grow your impact through clear ownership mentorship and opportunities to drive change across highvisibility programs.
Job Summary
As a Data Science Product Associate in the Firmwide Finance Business Architecture Core Services Team you transform complex business needs into analyticsdriven features your users love. You collaborate with product managers data scientists and engineers to define requirements acceptance criteria and success metrics that tie directly to outcomes. You support development and testing of artificial intelligence and machine learning models and the controls that safeguard their use. You build executiveready dashboards and narratives that inform decisions and prioritize the roadmap. You communicate clearly and inclusively turning analytics into action for Finance controllers and reporting teams.
You will help standardize reporting and playbooks that scale insights delivery across Finance Treasury and the Chief Investment Office and Wholesale Credit Risk platforms. You will strengthen data validation lineage and documentation aligning to privacy security and model risk standards. You will facilitate crossfunctional forums synthesize feedback and ensure analytics and controls are deployed reliably in strategic and legacy environments. Your work enables faster more reliable close and reporting cycles while improving transparency and governance.
Job 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 executiveready dashboards and narratives; design A/B tests and pilots define success metrics and evaluate outcomes including return on investment.
- Partner with engineering on data validation lineage documentation and control alignment; ensure compliance with 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 crossfunctional 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 and machine learning models and data controls to improve data quality and operational efficiency.
Required Qualifications Capabilities and Skills
- Bachelors degree in a quantitative field (for example computer science statistics) and a minimum of 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; handson experience with Amazon Web Services and Databricks.
- Proficiency in Python or R for exploratory analysis and model evaluation; experience with time series analysis and modeling and training or finetuning machine learning models.
- Experience with experimentation (A/B testing) cohort analysis key performance indicators (KPIs) and measurement plans for modelpowered features.
- Ability to manage multiple workstreams under tight deadlines; strong analytical problemsolving and collaboration skills to influence decisions across business and technology.
- Indepth knowledge of data and business intelligence concepts including extract transform load (ETL) data modeling and reporting automation.
- Strong storytelling skills with the ability to craft clear concise narratives from complex data for executive and nontechnical audiences.
Preferred Qualifications Capabilities and Skills
- Experience with Agile delivery methodologies and tools to manage both technical and functional work.
- Exposure to machine learning productization including model monitoring drift detection and feature performance measurement.
- Knowledge of banking products such as loans deposits cash management derivatives and securities from both technical and business perspectives.
- Awareness of user interface and user experience (UI/UX) principles; experience improving interaction by integrating user needs with technical functionality.
- Experience with Jira and Confluence.
- Familiarity with model risk governance and documentation standards.
***Relocation assistance is not available for this role.
Required Experience:
IC
Key Skills
- Financial Services
- Financial Concepts
- Accounting
- Corporate Finance
- Analysis Skills
- Securities Law
- Investment Banking
- Microsoft Excel
- Private equity
- Financial Analysis
- Financial Modeling
- Financial Planning
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more
