Cash and Check Management Team - Quant Analytics Senior Associate

JPMorgan Chase & Co. • Columbus, OH

4d

About The Position

Join a dynamic environment where your analytical expertise will help shape strategic decisions and drive impactful outcomes for the organization.
As a Quant Analytics Senior Associate, within the Cash and Check Management Analytics team, you will lead the analytics book of work and collaborate with a cross-functional team to support the Cash and Check Management Team and have the opportunity to build and update business cases, scope and define analyses, develop hypotheses, gather and validate data, conduct performance analysis, generate actionable insights, and contribute to the development and presentation of findings.

Requirements

• Bachelor’s degree required, with a strong academic background and at least 4 years of experience building analytical solutions that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance.
• Demonstrated technical expertise in data modeling, data analysis, and segmentation techniques.
• Proficient in Business Intelligence and analytical tools such as Alteryx and Tableau.
• Self-sufficient in querying and extracting data from enterprise databases and data lakes, including platforms such as Snowflake, GOS, and AWS Athena.
• Outstanding written and verbal communication skills.
• Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis.

Nice To Haves

• Experience developing financial business cases is highly desirable.
• Operational knowledge of CCB Cash & Check Management Operations is a strong advantage.
• Background in analytics or experience within consumer or retail banking is preferred.
• Familiarity with AWS technologies is a plus.

Responsibilities

• Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making.
• Import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling and scope, implement, and track new features and enhancements within the collections journey to optimize customer experience and operational efficiency.
• Identify customer interactions and events across various channels to gain a deeper understanding of customer journeys and pinpoint friction points.
• Utilize a range of analytical and statistical tools—including Alteryx, Excel, SQL, Python, and Tableau—to analyze and interpret trends and patterns in complex data sets and support the creation and delivery of presentations that summarize key insights and actionable conclusions, often tailored for executive audiences.
• Collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks and lead cross-functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions.
• Champion the use of advanced analytics techniques, such as machine learning and predictive modeling, to uncover deeper insights and drive innovation and establish and monitor key performance indicators (KPIs) to measure the effectiveness of analytics initiatives and inform ongoing strategy.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility.
• These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level