About The Position

Bring your expertise to JPMorganChase (the firm). 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 an Operational Risk Management Associate for Fraud Operations and Strategy within the Compliance, Conduct and Operational Risk organization that serves as the firm’s second line of defense, overseeing compliance, conduct, and operational risk, you will support the independent review and assessment of risks and controls across Fraud Operations, including Fraud Strategy and Scam products and processes to demonstrate sound operational risk management and regulatory compliance. Operating under the CCOR Framework, you will partner closely with cross‑functional teams leading activities and representing CCOR in some cases and supporting senior leaders in others on operational risk and regulatory compliance matters. You will serve as a point of contact and help evaluate and identify control design and execution deficiencies through risk and control assessments, risk management analytics, deep‑dive topical reviews, and governance and reporting practices. Success in this role requires engaging senior management and building credible, trust‑based, collaborative relationships across Business, Legal, Controls, Risk, and Technology.

Requirements

  • 1+ years of experience (including internships or co‑ops) in a Fraud focused or related risk management, strategic analytics, model review, or data science role; exposure to banking functions such as Risk, Compliance, Legal, Controls, Audit, or Business Functions.
  • Strong analytical, interpretive, and problem-solving skills with the ability to interpret data to monitor and uncover behaviors and trends in fraudulent activity.
  • Strong written and verbal communication skills with high attention to detail.
  • Demonstrated ability to learn quickly, manage multiple demands, and adapt to changing priorities.
  • Self‑starter who takes ownership of deliverables while collaborating effectively with the broader team.
  • Sound judgment and growing decision‑making skills; able to prioritize tasks and meet deadlines with limited guidance.
  • Able to develop defensible analyses and recommendations; builds effective partnerships across functions.
  • Comfortable engaging with stakeholders at various levels on risk and control matters, escalating appropriately when needed.

Nice To Haves

  • Experience in Operational Risk, Compliance, Controls, or Legal within financial services; front‑to‑back operational knowledge of the relevant line of business (LOB) including its products, processes, and systems, is a strong plus.
  • Experience using AI/ML‑enabled tools to support research and analysis; designing and executing analyses; aggregating risks across processes and products; and summarizing findings into clear, actionable risk insights.
  • Solid data fluency; proficient with self-service analytics and data visualization tools (e.g., ThoughtSpot, Tableau, Excel) to support CCOR oversight; able to collaborate with cross-functional partners and prepare materials-and, as needed, present updates to stakeholders.

Responsibilities

  • Work independently and as part of a team collaborating across lines of defense and functions (Business, Legal, Controls, Risk, Technology); assist with evaluations against the CCOR Framework, coordinate tasks, and build strong working relationships with limited guidance.
  • Stay current on evolving operational risks and regulations; understand risk and control standards; evaluate risk triggers and indicators; review product and process changes; and provide timely assessment and feedback for new and existing initiatives.
  • Apply critical and analytical thinking to operational risk assessments by executing review activities to evaluate processes, risks, and controls; help identify trends, control gaps, and emerging risks across business processes and the product lifecycle; and escalate issues promptly.
  • Leverage AI/ML (Artificial Intelligence/Machine Learning) tools and data analytics to understand and evaluate business data and analyze business processes, and develop oversight routines for monitoring, detection, and reporting.
  • Assist in aggregating risks across processes and products to support a consolidated risk view; synthesize results into draft reports documenting an independent, objective view of the control environment, mitigation activities, and emerging risks.
  • Preparing and delivering brief updates to CCOR and business stakeholders.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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