Risk Strategy Associate

JPMorganChase

Wilmington, DE1+ yrs17h agovia LinkedIn

About the Role

As a Strategic Analytics Associate within the Credit Risk Management Team at JPMorgan Chase, you will play a pivotal role in identifying, assessing, and mitigating risks to ensure we operate within established risk parameters and achieve long-term performance goals for our cards business. This position requires a proactive individual with a passion for continuous learning and intellectual curiosity.

Key Responsibilities

  • Lead comprehensive analytics to measure and challenge key business initiatives and be able to independently generate solutions.
  • Provide thought leadership and lead initiatives end to end, including defining problem statements, identifying risks and opportunities, securing stakeholder buy-in, and bringing ideas to life.
  • Work independently and with various teams to identify and assess performance trends, utilizing both statistical and data mining tools and quantitative methodologies.
  • Conduct root cause analysis to provide clear, actionable recommendations to senior leadership and various stakeholders.
  • Prepare and present detailed risk monitoring reports to senior management and stakeholders, ensuring clear communication of findings.
  • Support the development and maintenance of the company's risk management framework, ensuring compliance with regulatory requirements.
  • Monitor internal and external behavioral data along with public information on industry trends, regulatory changes, and credit risk management best practices to continuously improve risk management processes.

Requirements & Tech Stack

  • A degree in a quantitative discipline (ex: Finance, Statistics, Economics, Mathematics, Operations Research, among others).
  • Minimum 1+ years of analytics experience.
  • Ability to logically structure and execute analyses using strong analytic, interpretive and problem-solving skills.
  • Ability to translate complex analysis into practical solutions and create concise presentations with sound business conclusions.
  • Possess the drive to succeed, be results-oriented, have high attention to detail, and independently make decisions.
  • Previous experience with either SAS, SQL, Python, or Tableau analytic tools (other coding languages would be considered).
  • Knowledge of consumer lending business.

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