Risk Data Strategy Associate I

at  JPMorgan Chase Co

JOB SUMMARY:

As a Risk Data Strategy Associate I in our Home Lending Risk Management team, you will have the opportunity to assess and recommend changes to our overall Home Lending Risk data strategies, policies, and controls. This role provides a challenging and rewarding career path, where you will be promoting better data, stronger controls on data quality and processes, and a higher level of transparency for the Home Lending Risk group. You will regularly interact with leaders and teammates in Risk Management, Finance, Lending, and Marketing to add business value.

REQUIRED QUALIFICATIONS, SKILLS, AND CAPABILITIES:

• Bachelor’s degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Operations Research) is required
• 2+ years of Credit Risk Management and/or Marketing Analytics in financial industry, ideally with home lending.
• Extensive hands-on knowledge in SQL, PLSQL, and procedures/functions in working with the following database types: Oracle, Teradata, Snowflake and MS-SQL Server.
• Strong analytical, interpretive and problem-solving skills with the ability to develop common sense solutions to complex business challenges
• Strong P&L knowledge and understanding of drivers of profitability
• Proven ability to influence and drive results thorough effective thought leadership and teamwork
• Ability to coach and develop peers to deliver results
• Strong knowledge of SAS and MS Office required
• General knowledge of Mortgage Banking, mortgage products, servicing, default processes, reporting, and governance controls

ABOUT US

JPMorgan Chase & Co., 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 FAQs for more information about requesting an accommodation.

• Coordinate with end users to understand data requirements and the desired end state of data tables.
• Extract data from TERADATA, Oracle, SQL Server, external files using SAS and Alteryx and perform transformation and analysis of underlying trend and drivers using advanced Statistical Analysis System (SAS) techniques
• Perform impact analysis to assess impact of data source changes.
• Excellent data analytic skills and organizational skills.
• Ability to problem solve by analyzing, using experience and/or intuition to create pragmatic solutions. Investigate, troubleshoot and help provide data issue resolutions.
• Translate stakeholder requirements into database design
• Address user questions about databases. Assisting in publication and availability
• Analyze database in response to new functionality by summarize findings and implement recommendations
• Promote a constructive, positive team environment and maintains a spirit of openness, information sharing inquisitiveness, problem-solving and support for common goals
• Ability to allocate time efficiently; handle multiple demands and competing priorities.
• Strong time management skills, fast learner, self‐ motivated, and comfortable taking initiative and handling multiple projects simultaneously.