Quant Analytics Associate

Plano, TX, United States

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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.  Don’t 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 on the Remediation & 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. 
  • 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+  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

  • Master’s 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 customer service focus  

 

This role does not offer visa sponsorship. 

Work Schedule: Hybrid Monday thru Friday 8:00am to 5:00pm 

This is a Hybrid position which will require the incumbent to commute/work on site 3 days a week and work from home 2 days a week. 

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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. Additional details about total compensation and benefits will be provided during the hiring process. 

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 applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0
Category: Analyst Jobs

Tags: Banking Data analysis Economics Engineering Finance Mathematics Physics Python R SAS SQL Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Health care Wellness

Region: North America
Country: United States

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