Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As an associate in the Wholesale Credit Risk Forecasting Team, candidate will focus on execution and framework testing, delivering credit risk modeling and credit risk strategic innovation for the technology platforms to meet the requirements of CCAR/Stress Testing, 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 developers, modelers and technology to design and implement strategic enhancements to wholesale credit projects including technology platforms, operating model, data pipeline, and analytics framework. Additionally, you'll coordinate model library updates, assess the impact of model and implementation changes on forecast outputs and clearly translate those implications to Analytics and other stakeholders.
Job Responsibilities
- Execute and deliver the quarterly stress and allowance SDLC testing across all execution workstreams
- Design and develop tools (Python/SQL/Tableau/AI based) to automate development and testing solutions
- Support the strategic build-out of stress testing workflow/dataflow for future initiatives
- Intimate understanding of the implementation of the forecasting architecture, systems, dataflow, hardware, and model libraries
- Identify issues and streamline data flow from acquisition to results production
- Liaise with technology partners and LOBs to improve and enhance the forecasting process
- Help to plan and perform for all production/testing needs
- Work in an Agile framework to write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling platform
- Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance
- Perform portfolio analysis, data segmentation, data transformation and database interaction to prepare various datasets
Required qualifications, skills, and capabilities
- BA/BS degree in computer science, mathematics, engineering, data analytics, economics
- Minimum 3+ years of experience working in a finance organization with data analytics and/or credit risk, Wholesale Risk Management, Quantitative Research, Data Analytics, Model Testing
- Technologically savvy with an ability to understand systems and their internal functionality; Coding knowledge and experience in Python/SQL is 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
- Proactive, self-starter with ability to work in a collaborative environment
- Must be familiar with the software development lifecycle
- Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders
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 FAQs for more information about requesting an accommodation.
Skills Required
- BA or BS degree in computer science, mathematics, engineering, data analytics, or economics
- At least 3 years of experience in a finance organization involving data analytics, credit risk, wholesale risk management, quantitative research, data analytics, or model testing
- Coding experience and knowledge of Python and SQL
- Ability to understand systems and their internal functionality
- Ability to organize work and solve problems independently in a deadline-oriented environment
- Strong written and verbal communication skills
- Ability to collaborate with lines of business, risk streams, senior managers, and external stakeholders
- Proactive self-starter able to work collaboratively
- Familiarity with the software development lifecycle
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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