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 Senior Associate 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’ll collaborate with stakeholders to define goals and develop strategies that drive product performance and enhance user experience. You leverage advanced analytics to inform product development and investment decisions.
Job responsibilities
- Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
- Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
- Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
- Conduct sophisticated analysis and deliver tactical and strategic insights using modern visualization and reporting tools
- Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
- Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
- Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
- Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
- Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
Required qualifications, capabilities and skills
- Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 6+ years of relevant experience
- Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
- Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
- Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
- Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
- Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
- Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
- Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
- Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences
- Work experience in AWS, Spark/EMR, ChatGPT, Confluence and Snowflake.
- Proficiency in Agile methodologies with tools like Jira or Confluence
Preferred qualifications, capabilities and skills
- Experience in Machine Learning, NLP, and LLM.
- Experience working with Digital platform and tools like Adobe Analytics is a plus
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
- Bachelor's degree in Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or a related quantitative field
- 6+ years of relevant experience
- Proficiency in Python or SAS for data analysis
- Experience with Big Data technologies such as Snowflake or Databricks
- Strong SQL skills and experience with relational databases
- Exceptional interpersonal and collaboration skills
- Ability to explain complex mathematical concepts to business partners
- Experience delivering analytics and insights to operational teams and senior executives
- Hands-on experience with data mining techniques and analytical methodologies
- Experience translating analysis into business strategy implementation
- Experience with data visualization and reporting tools such as Tableau or Alteryx
- Advanced analytical, interpretive, and problem-solving skills
- Excellent written and oral communication skills
- Work experience with AWS, Spark or EMR, ChatGPT, Confluence, and Snowflake
- Proficiency in Agile methodologies and tools such as Jira or Confluence
- Experience in Machine Learning, NLP, and LLM
- Experience with digital platforms and tools such as Adobe Analytics
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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