Quant Analytics Senior Associate - Trust & Security

JPMorgan Chase & Co.; New York (NY); On-site; USD 110,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Quant Analytics Sr. Associate in Connected Commerce to advance data strategy, analytics, and Trust & Security initiatives. You will partner with Product Owners, Data Owners, and Tech to deliver data-driven insights that protect customers and support business goals.

You will define KPIs, build scalable analytics solutions, and mentor teams while navigating regulatory requirements and evolving client guidance in a dynamic financial services environment.

Qualifications

• 4+ years of industry experience in Data & Analytics.
• Bachelor’s degree in a quantitative field.
• Experience in Digital and/or product analytics with knowledge of digital metrics.
• Strong collaboration and influence across cross-functional teams.
• Ability to define business KPIs and measurement frameworks.
• Experience with SQL, AWS, Hive, Hadoop, Spark, Python, and R.
• Excellent written and oral communication and presentation skills.
• Self-starter with problem solving and quick learning.
• Strong time-management and multi-tasking skills.

Responsibilities

• Deliver analytical approaches to identify opportunities to improve fraud and scam prevention.
• Develop and maintain a data strategy roadmap with Data Owners and Tech.
• Collaborate with stakeholders to translate priorities into data initiatives.
• Articulate vision and roadmap for data-driven decision making across the org.
• Promote best practices in data management and analytics through training and mentoring.
• Continuously monitor and optimize data processes, models, and infrastructure.
• Engage with clients and manage evolving project requirements with ambiguity.
• Establish guidelines to ensure consistency and high-quality presentation materials.
• Collaborate with unit managers, end users, developers, and other stakeholders to integrate data discoveries into operations.

Skills

Data analytics

Digital analytics

Cross-functional collaboration

Problem solving

Communication skills

SQL

Python

R

AWS

Hive

Hadoop

Spark

Adobe Analytics

Data strategy

Education

Bachelor's degree in quantitative field

Tools

SQL

AWS

Hive

Hadoop

Spark

Python

R

Adobe Analytics

Job description

Join a team where your analytical expertise directly protects customers and drives meaningful impact across one of the world's leading financial institutions. As part of JPMorganChase's Connected Commerce organization, you'll be at the intersection of data strategy, fraud prevention, and customer trust — working alongside talented technologists, product leaders, and analytics professionals who are passionate about solving complex problems at scale. This is an opportunity to grow your career while contributing to work that matters, in an environment that values curiosity, collaboration, and continuous learning.

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

Job Responsibilities:

• 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

Required qualifications, capabilities, and skills:

• 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