Risk Management - Corporate - Wholesale Credit Risk Forecasting - Associate

About Wholesale Credit Risk – Forecasting 

The WCR Product/Forecasting organization is an expert model, data, product-oriented group in J.P. Morgan, and a leader in financial engineering, data analytics, statistical modeling, and portfolio management. As a global team, Wholesale Credit Risk Forecasting works with quantitative research partners, risk managers and lines of businesses across all products and regions on strategic innovation, inventory and portfolio optimization, and governance of appropriate financial risk controls.

Opportunity

The successful Associate candidate will join the Wholesale Credit Risk Forecasting Team, focused on data sourcing and analytics, delivering credit risk modeling and credit risk strategic innovation for the technology platforms to meet the requirements of CCAR/Stress Testing, and Credit Stress Framework, and Economic Credit Capital. You will play a key role in monthly/quarterly model preparation and execution, as well as collaborate closely with lines of business, modelers and technology to design and implement strategic enhancements to wholesale credit projects including technology platform, operating model, data pipeline, and analytics framework. Additionally, with a strong commitment to scalability, resiliency, and stability, you will collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations. 

Specific responsibilities include:

 

• Execute and deliver the quarterly stress and allowance forecasting results with focus on data needs

• Navigate through database and data systems to perform data analysis, segmentation, transformation to prepare various datasets

• Design and develop tools (Python/SQL/Tableau/AI based) to automate data sourcing/analytical processes that assess data quality, data completeness, and readiness for forecasting

• Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance

• Understand the implementation of the forecasting regression models and how they use data for forecasting

• Understand the implementation of the forecasting architecture, systems and dataflow

• Identify issues and streamline data flow from acquisition to results production

• Support the strategic build-out of stress testing workflow/dataflow for future initiatives

• Liaise with partners and LOBs to improve and enhance the forecasting process

• Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance

 

The ideal candidate should possess the following:

• BA/BS degree in computers, mathematics, finance or a related field

• Minimum of 3+ years of experience working in a finance organization with data analytics and/or credit risk; knowledge of CCAR/Economic Capital/Stress Testing/Basel in Wholesale Credit Commercial & Industrial and/or commercial real estate is preferred but not required

• Ability to organize work and solve problems independently and excel in a deadline-oriented environment

• Strong communications skills, written and verbal – significant interaction with LOBs, risk streams, senior managers, and external stakeholders

• Technologically savvy with an ability to understand systems and their internal functionality; Coding knowledge and experience in Python/SQL is desirable but not required

• Understanding of big-data analytics and strategic data synthesis is desirable

• Proactive, self-starter with ability to work in a collaborative environment 

• Tableau and data visualization familiarity preferred

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   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.