Quant Analytics Analyst

Job Category Quant Analytics 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 and Wealth Management Analysts benefit from unique exposure to various products and teams across J P Morgan Chase Job Summary As a Quantitative Analytics Analyst 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 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 2 3 plus years of related experience Bachelor s Degree in Math Statistics Software Engineering Computer Science Engineering or similar field Prior experience with SAS and another programming language e g Python R SQL Java 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 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 Adept at multi-tasking and meeting deadlines in high-pressure environment Demonstrates personal dedication and strong work ethic sets high standards for self with a strong willingness to learn and take feedback Strong verbal and written communication skills with the ability to synthesize data and information into executive summaries briefs and or reports Understanding of data infrastructure in a financial services organization will be a plus JPMC Product or Database knowledge and experience preferred About Us JPMorganChase one of the oldest financial institutions offers innovative financial solutions to millions of consumers small businesses and many of the world s most prominent corporate institutional and government clients under the J P Morgan and Chase brands Our history spans over 200 years and today we are a leader in investment banking consumer and small business banking commercial banking financial transaction processing and asset management 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 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 We re proud to lead the U S in credit card sales and deposit growth and have the most-used digital solutions - 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