Risk Management - Quantitative Research - Wholesale Credit Risk Modeling – Vice President

Jersey City, NJ, United States

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Bring your expertise to JPMorgan Chase.  As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Wholesale Credit Risk Modeling Vice President, within the Quantitative Research (QR) group, you will apply your strong statistical and/or economic modeling background and develop state-of-the-art modeling methodology in areas related to Wholesale credit risk. In this role, you will work on developing state-of-the-art methodologies in areas related to wholesale credit risk. Our book of work includes building model solutions on various wholesale portfolios and you will focus on structured product rating and stress testing frameworks. We provide on job training, intensive internal classroom training and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, the QR group provides unique growth opportunities for you to develop your abilities and your career.

Job Responsibilities 

  • Develop mathematical models for risk measurement of wholesale credit portfolio such as Commercial & Industrial loans (CNI) and Structured Purpose Vehicles (SPVs) for structured products
  • Develop mathematical models for the bank’s credit reserve (CECL - Current Expected Credit Losses), stress testing processes (CCAR – Comprehensive Capital Analysis and Review) 
  • Develop mathematical models / scorecard methodology for measuring the credit risk component for the bank’s commercial / corporate clients 
  • Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk
  • Design efficient numerical algorithms and implementing high performance computing solutions
  • Design and develop software frameworks for analytics and their delivery to systems and applications

 

Required Qualification, Skills and Capabilities 

  • Quantitative and problem-solving skills as well as research skills
  • Understand the different types of banking risk and you can discuss in detail ways of managing these risks (including familiarity with new areas such as climate risk)
  • Excellent practical data analytics skills on real data sets gained through hands-on experience, including familiarity with methods for working with large data and tools for data analysis (e.g. R, python, Pandas, Numpy, Scikit-Learn, TensorFlow)
  • Experience applying statistical (regression models, multivariate analysis, simulation techniques) and/or machine learning / deep learning techniques in the financial industry
  • Ability to quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs
  • Ability to think strategically and creatively when faced with problems and opportunities and continuously look for new ways of doing things
  • Strong attention to detail and strong communication and interpersonal skills – you listen and communicate in a direct, succinct manner
  • Strong interpersonal skills and easily adaptable 

Preferred Qualification, Skills and Capabilities 

  • Quantitative modeling experience specifically in the wholesale/retail credit risk area for regulatory exercises (Basel, CCAR, CECL) – in particular within structured products and / or private credit and equity
  • Numerical algorithms (root finding, optimization ) and familiarity with Linux/Unix systems 
  • Ability and motivation to take initiative and solve problems independently
  • Knowledge on of various types of climate risk and their implication in risk modeling

 

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans

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Tags: Banking Credit risk Data analysis Data Analytics Deep Learning HPC Industrial Linux Machine Learning NumPy Pandas Python R Research Scikit-learn Statistics TensorFlow Testing

Perks/benefits: Career development Competitive pay Equity / stock options Health care Startup environment Wellness

Region: North America
Country: United States

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