You’ll join the Consumer & Community Banking - Data & Analytics team, a strategic partner to the Consumer & Community Banking organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Data & Analytics team.
As a Quantitative Analytics Manager within the Consumer & Community Banking - Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will drive the campaign management lifecycle, including targeting, sizing, business case development, modeling, list execution, reporting, ad-hoc deep dives, test design and analysis, financial assessments, forecasting, and portfolio performance analysis. This role partners directly with business stakeholders to design, develop, implement, and track strategic lead and outreach initiatives, leveraging advanced analytics to deliver actionable insights and optimize business outcomes.
Job responsibilities
- Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering, machine learning, statistical forecasting, optimization, and simulation techniques.
- Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights.
- Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes.
- Own program management, process development, and key stakeholder communications with limited oversight.
- Coach and mentor junior team members, fostering a collaborative and high-performance analytics culture.
- Serve as a subject matter expert for data-driven decision-making and opportunity identification.
- Partner with stakeholders to solve business problems, optimize performance, and shift business and product strategy.
- Align with data owners to reassure landing of effective data products.
- Contribute to a friendly, inclusive, and appreciative team culture.
- Demonstrated ability to incorporate diverse perspectives and drive adoption of recommendations.
Required qualifications, capabilities, and skills
- PhD or Master’s degree in a quantitative field (e.g., Computer Science, Operational Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline), or Bachelor’s degree with 10 + years of relevant experience.
- Exceptional interpersonal and collaboration skills; ability to explain complex mathematical concepts and influence business partners.
- Exposure to forecasting, planning, and business strategy functions.
- Hands-on experience with data mining, analytical methods, and business strategy implementation.
- Proficiency in data analysis languages (Python, SAS, R, etc.) and Big Data technologies (Snowflake, Databricks).
- Advanced analytics, interpretive, and problem-solving skills.
- Knowledge of advanced analytics, inferential statistics, machine learning, experimentation, and quasi-experimentation.
- Consulting orientation and ability to influence internal and external stakeholders.
- Comfort leveraging AI tools to reduce time spent on repetitive tasks and accelerate delivery.
Preferred qualifications, capabilities, and skills
- Experience mentoring junior colleagues and building durable team practices and playbooks.
- Experience in data-driven storytelling to support strategic growth initiatives
- Proven ability to build strong partnerships with cross-functional teams
- Experience with Adobe Analytics.
- Experience supporting Service Center business and/or analytics use cases.
About Us
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 over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 at our company. 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. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- PhD or master's degree in a quantitative field such as computer science, operations research, mathematics, engineering, econometrics, statistics, or a related discipline
- Alternatively, bachelor's degree with 10 or more years of relevant experience
- Exceptional interpersonal and collaboration skills, including the ability to explain complex mathematical concepts and influence business partners
- Exposure to forecasting, planning, and business strategy functions
- Hands-on experience with data mining, analytical methods, and business strategy implementation
- Proficiency in Python, SAS, R, or similar data analysis languages
- Experience with Big Data technologies such as Snowflake and Databricks
- Advanced analytics, interpretive, and problem-solving skills
- Knowledge of inferential statistics, machine learning, experimentation, and quasi-experimentation
- Consulting orientation and ability to influence internal and external stakeholders
- Comfort using AI tools to reduce repetitive work and accelerate delivery
- Experience mentoring junior colleagues and building team practices and playbooks
- Experience with data-driven storytelling for strategic growth initiatives
- Experience building partnerships with cross-functional teams
- Experience with Adobe Analytics
- Experience supporting Service Center business or analytics use cases
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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