Quant Analytics Senior Associate
JPMorgan Chase · Posted Oct 15
Global banking, investment, credit card, mortgage, and asset management services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Consumer & Community Banking – Data & Analytics team is a strategic partner to the Consumer & Community Banking organization, using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. As a Quantitative Analytics Associate within this data and analytics organization, the role applies analytical expertise to guide strategic decisions, ongoing reporting, and deep-dive analyses that address emerging business challenges. The position leverages advanced analytics, data mining, and modern visualization and reporting tools to inform product development, investment decisions, and business strategy.
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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, or an advanced degree with 4+ years of 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
- Experience in Machine Learning, NLP, and LLM.
- Experience working with Digital platform and tools like Adobe Analytics is a plus
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
Recent coverage
GuruFocus
JPMorgan Chase Reports Strong Q3 2026 Earnings with Focus on Dividend Sustainability2026-10-13
BigGo
JPMorgan Posts Record $15.3B Net Income as Equities Revenue Surges2026-10-13
JPMorgan Chase Newsroom
JPMorganChase Plans Dividend Increase and Has Authorized a New Common Share Repurchase Program2026-06-24
J.P. Morgan Press Release
JPMorganChase reports second-quarter 2026 net income of $21.2 billion2026-07-14