• Job Description

  Req#: 210460169

  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.

  The Quantitative Research (QR) Wholesale Data team provides excellent exposure on Credit Risk, Basel regulations, CECL/IFRS9 forecasting and stress forecasting. The team works across the Wholesale bank and is closely aligned with firm-wide partners including Quantitative Research, Finance, Model Risk Governance, Chief Data Office, Technology and the Regulatory Capital Management Office. We are seeking a candidates with strong technical skills in Python and SQL and, business knowledge in corporate finance and data analytics.

  Job Responsibilities

  • Design and development of applications and help to develop frameworks to ensure cross-platform data & logic consistency and optimization
  • Write code to enrich and transform data sets to produce output that will help to advance the wholesale credit risk management
  • Work across entire Software Development Life Cycle (SDLC) including planning, analysis, and development and testing of new applications and enhancements to existing applications.
  • Perform data analysis to support model development and analytics
  • Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR, CECL and other credit risk models
  • Define data models, metadata and data dictionary that will enable data analysis and analytical explorations
  • Perform user acceptance testing and deliver demos to stakeholders by SQL queries or Python scripts

  Required Qualifications, Capabilities and Skills

  • Bachelor’s or Master’s in Computer Science, Data Analytics or equivalent discipline
  • Excellent Python and SQL knowledge with a strong track record of delivering with impact
  • Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data
  • Excellent communication skills, both written and oral, with the confidence to converse directly with business stakeholders
  • Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts

  Preferred Qualifications, Capabilities and Skills

  • Data Visualization tools like Tableau, Qlik View, Power BI, etc.
  • Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand By Letter of Credit, Syndications etc.)
  • Detail oriented and strong organizational skills
  • Ability to be self-sufficient and solve problems creatively while working in a dynamic and challenging environment under tight deadlines

• About the company

  J.P. Morgan is a leader in financial services, offering solutions to clients in more than 100 countries with one of the most comprehensive global product platforms available. We have been helping our clients to do business and manage their wealth for more than 200 years. Our business has been built upon our core principle of putting our clients'​ interests first.

Notice