Risk Strategy Associate
JPMorganChase
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.