Quant Analytics Manager
JPMorganChase, Columbus, OH, United States
Join a team transforming how JPMorgan Chase leverages advanced analytics and AI/ML to optimize pricing strategies and forecast financial performance. Partner with data scientists, engineers, and business leaders to deliver products that drive measurable business impact across Auto Finance, Wealth Management, and Business Banking.
Job Responsibilities
Partner with the Area Product Owner to define and prioritize product roadmaps for pricing optimization and forecasting solutions across Auto Finance, Wealth Management, and Business Banking.
Translate business requirements into actionable user stories and technical specifications, managing product backlogs using Jira and Jira Align.
Interpret and explain AI/ML models (XGBoost, MIP optimization) and assess financial impact on key metrics including RoE, SVA, and loan volume.
Collaborate with data scientists to refine model features, validate outputs, and ensure alignment with business objectives.
Serve as a trusted advisor to senior business leaders, translating complex analytical concepts into clear, actionable insights and managing stakeholder expectations.
Perform hands‑off analytics using Python, PySpark, and Databricks for exploratory analysis, model validation, and impact assessments.
Lead agile ceremonies and manage delivery timelines, dependencies, and risks to ensure successful product delivery.
Required Qualifications, Capabilities and Skills
7+ years of experience in analytics, finance, or product management within financial services.
Proven track record managing AI/ML or advanced analytics products with experience in pricing, forecasting, or risk modeling.
Proficiency in Python and PySpark for data manipulation, analysis, and model validation.
Hands‑on experience with Databricks, AWS, and modern cloud analytics platforms.
Strong understanding of financial metrics including RoE, Shareholder Value Add, Net Interest Income, and Non‑Interest Revenue, with ability to assess business impact.
Demonstrated ability to define product vision, roadmaps, and feature prioritization using agile methodologies.
Exceptional communication skills with ability to present complex analytical concepts to executive audiences.
Preferred Qualifications, Capabilities and Skills
Master's degree in Analytics, Statistics, Economics, Finance, Computer Science, or related field.
Deep understanding of statistical models and machine learning algorithms (XGBoost, regression, optimization).
Experience working across multiple lines of business (Auto Finance, Wealth Management, Business Banking).
Benefits
We offer a competitive total rewards package including base salary, commission‑based pay, discretionary incentive compensation, equity awards, health care coverage, on‑site wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
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Job Responsibilities
Partner with the Area Product Owner to define and prioritize product roadmaps for pricing optimization and forecasting solutions across Auto Finance, Wealth Management, and Business Banking.
Translate business requirements into actionable user stories and technical specifications, managing product backlogs using Jira and Jira Align.
Interpret and explain AI/ML models (XGBoost, MIP optimization) and assess financial impact on key metrics including RoE, SVA, and loan volume.
Collaborate with data scientists to refine model features, validate outputs, and ensure alignment with business objectives.
Serve as a trusted advisor to senior business leaders, translating complex analytical concepts into clear, actionable insights and managing stakeholder expectations.
Perform hands‑off analytics using Python, PySpark, and Databricks for exploratory analysis, model validation, and impact assessments.
Lead agile ceremonies and manage delivery timelines, dependencies, and risks to ensure successful product delivery.
Required Qualifications, Capabilities and Skills
7+ years of experience in analytics, finance, or product management within financial services.
Proven track record managing AI/ML or advanced analytics products with experience in pricing, forecasting, or risk modeling.
Proficiency in Python and PySpark for data manipulation, analysis, and model validation.
Hands‑on experience with Databricks, AWS, and modern cloud analytics platforms.
Strong understanding of financial metrics including RoE, Shareholder Value Add, Net Interest Income, and Non‑Interest Revenue, with ability to assess business impact.
Demonstrated ability to define product vision, roadmaps, and feature prioritization using agile methodologies.
Exceptional communication skills with ability to present complex analytical concepts to executive audiences.
Preferred Qualifications, Capabilities and Skills
Master's degree in Analytics, Statistics, Economics, Finance, Computer Science, or related field.
Deep understanding of statistical models and machine learning algorithms (XGBoost, regression, optimization).
Experience working across multiple lines of business (Auto Finance, Wealth Management, Business Banking).
Benefits
We offer a competitive total rewards package including base salary, commission‑based pay, discretionary incentive compensation, equity awards, health care coverage, on‑site wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
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