Ready to transform data into impactful insights? Join us as a Quantitative Analytics Associate and make your mark with our dynamic team! Dive into data analysis, support diverse Lines of Businesses such as Auto Finance, Business Banking, Consumer Banking, Credit Card, and Wealth Management and drive strategic decision while advancing your career.

As a Quantitative Analytics Associate on the Remediations & Corrections team, you will be crucial in identifying, classifying, and resolving customer impacts stemming from business process or operational disruptions at JPMorgan Chase. This role involves addressing affected customers by recalculating and crediting finance charges, fees, and processing account adjustments to rectify account issues. To succeed, you must be highly motivated, analytical, detail-oriented, and an outstanding problem solver who takes pride in managing customer issues comprehensively and delivering exceptional service.

Job Responsibilities

• Collaborate with key stakeholders across the firm to understand case contexts, including issues, and translate high-level requirements into detailed analytic steps.

• Query databases and manipulate data to identify correction populations, financials, and create execution files using account, customer, and transaction-level data.

• Ensure accuracy in analytics steps by paying attention to detail and supporting the independent validation team with case requirements and code.

• Use SAS macros or other tools to automate repetitive analytics steps across cases.

• Develop skills to deliver best-in-class analytics in the treatment of customer issues.

Required qualifications, capabilities, and skills

• Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)

• 1 year of experience with SQL and at least one of the following analytical tools: SAS, Python, R.

• Experience working with at least one line of business within Chase Consumer and Community Banking.

• Strong communication skills (both written and verbal).

• Detailed and quality oriented.

• Proven ability and commitment to mentoring junior team members.

Preferred qualifications, capabilities, and skills

• Master’s degree with code development working experience in SQL/SAS.

• Demonstrated ability to influence and partner collaboratively with business partners.

• Demonstrated advanced troubleshooting and problem-solving skills with a customer service focus.

This is role is not eligible for visa sponsorship. This role is 5 days a week full time in office.