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# Quant Analytics Senior Associate - Trust & Security

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Amazon Web Services, Data Analysis, Data Mining, R (Programming Language), Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Regression Analysis, SQL Databases, Apache Spark, Data Strategy, Data Analytics, Data Management, Tools for Reporting
- **Published:** September 26, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210794198

## About the Role

* 4+ years of industry experience in Data & Analytics
 * Bachelor's degree in relevant quantitative field required (e.g. Analytics, Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields);
 * Must have prior experience working in Digital and/or product analytics and in depth understanding of common digital metrics and definitions
 * In general, top-tier talent, as demonstrated by performance history and educational background/accomplishments
 * Ability to work in large and medium sized project teams, as self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic, with ability to influence and effectively collaborate with cross-functional teams
 * Demonstrated ability to define business KPIs and establish measurement frameworks
 * Structured thinker with passion for analyzing results and digging deeper and a strong aptitude for technical concepts and ideas
 * Experience across broad range of modern analytics tools (e.g., SQL, AWS, Hive, Hadoop, Spark, Python, R) and working on Digital behavioral data tools (E.g.: Adobe Analytics)
 * Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences - across business and technology partners, including senior leadership
 * Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
 * Strong time-management skills, with the ability to multi-task and keep numerous projects on track

Preferred qualifications, capabilities, and skills:

 * Basic knowledge in modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
 * Financial services background
 * Advanced degree in relevant quantitative field

## Description

As a Quant Analytics Sr. Associate within Connected Commerce, Commerce Enablement Analytics team supporting Trust and Security Data work stream, you will be a key member of the broader Data and Analytics organization. You will work closely with Product Owners, Data Owners, Tech and Data & Analytics across Consumer and Community Banking to deliver data strategy and analytics initiatives supporting Trust and Security, * Deliver analytical approaches to identify opportunities to improve fraud and scam prevention efforts focused on protecting our customers while balancing customer satisfaction

 * Develop and maintain comprehensive data strategy roadmap collaborating with Data Owners, Tech, Product owners aligned with Business goals and regulatory requirements
 * Collaborate with stakeholders to understand business priorities and translate them to actionable data initiatives
 * Collaborate with executive leadership to articulate vision, goals and roadmap for data promoten decision-making across the organization
 * Promote the adoption of best practices in data management and analytics within the organization within the organization through training, mentoring and knowledge sharing
 * Continuously monitor and optimize data processes, analytical models, and infrastructure to promote continuous improvement and innovation
 * Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent client engagement skills
 * Pivot quickly as client guidance evolves, always keeping the ultimate project objective in mind. Manage evolving project requirements while continuously learning quickly on-the-job
 * Establish and embrace guidelines to ensure consistency and high quality of presentation materials in appearance, tone, and style
 * Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries and processes into operational capabilities