Remediation & Corrections Analytics - Quantitative Analytics - Associate

Remediation & Corrections Analytics - Quantitative Analytics - Associate

The Corrections and Remediations Analytics - Center of Excellence (CoE) performs data analysis to identify customers impacted by process or operational breaks throughout the firm. This CoE supports Auto Finance, Business Banking, Consumer Banking, Credit Card, Merchant Services, and Wealth Management. Analysts benefit from unique exposure to various products and teams across J.P. Morgan Chase. 

As a Quantitative Analytics Associate in the Corrections and Remediations Analytics - Center of Excellence (CoE), you will use SAS & SQL skills to query databases and research to identify correction population, financials and create execution files using accounts, customer, and transaction level data.

Job responsibilities

• Use SAS & SQL skills to query databases and research to identify correction population, financials and create execution files using accounts, customer, and transaction level data.
• Ensure analytics steps are accurate through attention to detail and supporting the independent validation team with understanding case requirements and code.
• Use SAS macros or another tool to automate analytics steps which are repetitive between cases.
• Continuously develop skills and upskill to languages like Python etc. and deepen data knowledge to support closure of projects, ensure correct data is being supplied to stakeholders, deliver analytical requirements per the “requirements documents” and provide best-in-class analytics.
• Collaborate with key stakeholders like Project Managers, Business Analysts etc. across the firm to understand the context of cases including the issue and then use analytic techniques to carry out requirements (which requires translating high-level requirements into steps) and drive Analytics and Insights.

Required qualifications, capabilities and skills

• 5 plus years of related experience with SQL and at least one of the following analytical tools: SAS, Python, R.
• Bachelor's degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields) 
• Data Wrangling: Able to query data from multiple sources with considerations for null values or required manipulations/aggregation
• Data Mining: Identify insights and anomalies within data
• Logical reasoning – translating plain English requirements into codes and driving analytical insights out of it 
• Experience working with at least one line of business within Chase Consumer and Community Banking

 Preferred qualifications, capabilities and skills

• Proficiency with standard MS Office tools (Excel, Word, PowerPoint, etc.)

• Flexible individual who can easily and efficiently transition across topics and disciplines.

   

• Understanding of data infrastructure in a financial services organization will be a plus. JPMC Product or Database knowledge and experience preferred.
• Demonstrated ability to influence and partner collaboratively with business partners
• Demonstrated advanced troubleshooting and problem-solving skills with a customer service focus

Experience Level

Mid Level