Risk Reporting - Vice President

JPMorgan Chase JPMorgan Chase · Banking · Tempe, AZ +1 · Corporate Sector

This role is for a Vice President in Treasury and Chief Investment Office (TCIO) at JPMorgan Chase, focusing on daily external liquidity reporting. The responsibilities include overseeing data aggregation, executing data integrity controls, performing reconciliations and variance analysis, and coordinating the production of risk reports for internal and regulatory stakeholders. The role also involves setting modernization roadmaps for analytics tooling and partnering with various teams to resolve data quality issues. While the role mentions AI-enabled solutions, its core function is in financial risk reporting and data operations, not AI/ML development.

What you'd actually do

  1. Oversee and attest to the quality of liquidity risk data daily across all legal entities, establishing enterprise data quality standards, materiality thresholds, and escalation protocols; ensure evidence retention and audit readiness.
  2. Direct the industrialization of product reconciliations and daily balance sheet variance analysis, moving from manual reviews to automated, scalable pipelines with lineage and control checkpoints.
  3. Prepare, analyze, and provide commentary for internal and external reports to stakeholders.
  4. Conduct data analysis to identify and implement business validation rules to support the transition to an exception-based operating model.
  5. Set the modernization roadmap and standards for the analytics/tooling stack (Tableau, Excel, Python), driving consolidation, scalability, and resiliency across solutions.

Skills

Required

  • 8+ years of experience in treasury, financial reporting or risk/data operations, balance sheet analysis, and/or asset and liability or liquidity management.
  • Expert analytical and diagnostic skills
  • Proven leadership experience
  • Strong technical leadership
  • SQL
  • Python
  • Advanced Excel skills
  • Proficiency with Tableau
  • Proficiency with Alteryx
  • Independent, principled decision-maker
  • Ability to articulate trade-offs under time pressure
  • Effective escalation
  • Ability to drive to sustainable outcomes
  • Demonstrated ability to lead teams through high-stakes deadlines and regulatory commitments
  • Establish execution discipline
  • Risk-aware prioritization
  • Clear accountability
  • Ownership and urgency
  • Set operating mechanisms, cadences, and standards that scale across teams with minimal oversight
  • Executive communication excellence
  • Craft concise narratives, risk positions, and options
  • Influence senior forums and regulatory interactions
  • People leadership of analysts and associates
  • Hiring
  • Staffing
  • Performance management
  • Coaching
  • Succession planning
  • Ownership of governance forums for data quality and operational risk
  • Accountable for control health metrics
  • Remediation plans
  • Audit readiness
  • Own end-to-end lifecycle of AI-enabled solutions for liquidity data quality, reconciliations, and variance analysis with human review, monitoring, and governance.

Nice to have

  • Experience with SQL, Python, or data visualization tools such as Tableau is a plus.
  • Advanced degree in Finance, Data Science, Computer Science, or related field preferred.
  • Relevant certifications in cloud, data engineering, or ML/AI are advantageous.

What the JD emphasized

  • 8+ years of experience in treasury, financial reporting or risk/data operations, balance sheet analysis, and/or asset and liability or liquidity management.
  • Expert analytical and diagnostic skills, with a track record of structuring ambiguous problems and driving data‑driven decisions for senior stakeholders.
  • Proven leadership experience, including the ability to facilitate project and process improvements across a large organization.
  • Strong technical leadership with hands‑on depth in SQL and Python; advanced Excel skills and proficiency with Tableau and Alteryx.
  • Independent, principled decision‑maker with clear trade‑off articulation under time pressure; escalates effectively and drives to sustainable outcomes.
  • Demonstrated ability to lead teams through high‑stakes deadlines and regulatory commitments; establishes execution discipline, risk-aware prioritization, and clear accountability.
  • Operates with ownership and urgency; sets operating mechanisms, cadences, and standards that scale across teams with minimal oversight.
  • Executive communication excellence; crafts concise narratives, risk positions, and options; influences senior forums and regulatory interactions.
  • People leadership of analysts and associates, including hiring, staffing, performance management, coaching, and succession planning.
  • Ownership of governance forums for data quality and operational risk; accountable for control health metrics, remediation plans, and audit readiness.
  • Own end‑to‑end lifecycle of AI‑enabled solutions for liquidity data quality, reconciliations, and variance analysis with human review, monitoring, and governance.