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Wholesale Credit Portfolio Analytics - Data Strategy - Associate

JPMorgan Chase & Co.

JPMorgan Chase & Co.

Data Science
Posted on Thursday, May 30, 2024

Job Description

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 Portfolio Analytics - Data Strategy team, you will be part of a centralized unit dedicated to transforming the comprehensive Credit Risk experience across JPMC's Wholesale lines of businesses. Our goal is to enhance both effectiveness and efficiency in managing wholesale credit risk across Commercial Banking and Corporate & Investment Banking by leveraging data and technology.Commercial Banking (CB) serves over 19,000 clients nationally, including corporations, municipalities, financial institutions and not-for-profit entities, with annual revenue generally ranging from $20 million to $2 billion, and over 37,000 real estate clients, owners and investors. J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. Wholesale Credit Portfolio Analytics operates in a fast-paced environment to lead strategic efforts transforming Wholesale Credit’s most critical needs, requiring collaboration with business, risk, and technology partners. Typical projects re-imagine existing operating models and design innovative data-driven solutions to drive foundational changes to legacy processes.

The Data Strategy Team – Associate will be part of Wholesale Credit Analytics and Transformation team. The Analytics team consists of data scientists who are developing value added risk analytics solutions through the deployment of advanced analytical frameworks and Machine Learning algorithms on top of the firm’s big data assets. This role will work across multiple businesses, risk, and technology teams to run data acquisition, data governance and data quality operating model to meet the increasingly sophisticated data needs of the larger wholesale credit organization.

Job responsibilities

  • Partner with Data Scientists to understand their data needs for analytic solution/model development (using internal and external data)
  • Actively participate in requirements gathering sessions, conduct supporting analysis, create execution plans, coordinate across lines of businesses within JPMC and with external vendors to source various data sets. Own the data delivery plan working with Technology partners
  • Represent Wholesale Credit Analytics data requirements and use cases to stakeholders in Legal, Compliance, Data Use forums and other Corporate functions based on data procurements needs
  • Work on actionable insights by analyzing structured/unstructured data from data sources. Gather, synthesize and present project findings and data to a broad cross section of stakeholders including data scientists, credit officers, technology partners
  • Protect the team’s data assets by actively contributing improvements to the Data Quality framework and ensuring any data defects are identified and resolved promptly
  • Actively participate in proof of concepts with externals data aggregators and product vendors for Credit Risk transformation and modernization use cases
  • Establish and cultivate relationships with stakeholders across the organization, including technology, credit, product and data teams, to develop contacts on relevant subject matter

Required qualifications, capabilities, and skills

  • Bachelor's degree in Information Technology or Computer Science or Data or Quantitative discipline (Statistics/ Mathematics)
  • Minimum 3 years of experience in a data management, big data, data warehousing, ETL infrastructure for data acquisition within financial services
  • Ability to run basic SQL queries
  • Experience working on data acquisition and transformation in a data warehousing or big data project
  • Self-starter with the ability to solve problems creatively and deliver results while working in a dynamic, collaborative, and challenging environment. Detail-oriented, organized, and able to multitask to meet deadlines under pressure
  • Outstanding interpersonal skills needed for working in a team environment and with cross-functional teams in multiple, global locations

Preferred qualifications, capabilities, and skills

  • AWS Clouds skills (EMR, S3, Athena etc.) is desirable
  • Ability to code using Python is desirable