Quant Analytics Associate

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. Donât miss this chance to leverage your skills, collaborate multiple lines of businesses and acquire knowledge on a variety of financial products. As a Quantitative Analytics Associate within the Remediations & Corrections team, you will be crucial in identifying, classifying, and resolving customer impacts stemming from business process or operational disruptions at JP Morgan 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 Automate repetitive analytics steps across cases using SAS macros and other tools 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) 3 years 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 Masterâs degree with plus years of 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 cust Equal Opportunity Employer/Disability/Veterans We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicantsâ and employeesâ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Weâre proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions â all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. #J-18808-Ljbffr