DescriptionJoin Treasury and Chief Investment Office (TCIO) at JPMorgan and take part in firm-wide asset and liability management for one of the worlds largest global financial institutions managing a $2.5 trillion balance sheet which includes over $900 billion in loans and $1.4 trillion in deposits. Positioned at the center of the firm TCIO directly influences the composition of the firms balance sheet and the activities of its main LOBs: Asset Management (AM) Commercial & Investment Bank (CIB) and Consumer & Community Banking (CCB).
As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO) part of the TCIO organization you will support the Firms daily external liquidity reporting. You will be part of a team responsible for overseeing the operating model that supports data aggregation used in the firms risk reporting process (e.g. balance sheet details forecasts and assumptions). This includes executing key data integrity controls reconciliations adjustments and analytics. You will also coordinate the production of several firm-wide LOB and legal entity-level risk reports (e.g. 6G LCR Stress) by agreed deadlines. This involves collaborating with global contacts to quickly research and explain variances in key risk measures and facilitating sign-off by senior risk stakeholders before report distribution internally and to regulators.
Job Responsibilities:
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.
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.
Prepare analyze and provide commentary for internal and external reports to stakeholders.
Conduct data analysis to identify and implement business validation rules to support the transition to an exception-based operating model.
Set the modernization roadmap and standards for the analytics/tooling stack (Tableau Excel Python) driving consolidation scalability and resiliency across solutions.
Determine business drivers behind variances and communicate impacts to partner groups such as Liquidity Risk Management and Liquidity Management.
- Partner with internal data source providers and risk stakeholders across all lines of business to complete data investigations and resolve data quality issues aiming to improve the timeliness and accuracy of all risk reporting continuously.
- Respond to internal or regulatory requests to complete ad hoc data analysis or produce custom reports as needed.
Support LRI tech/business enhancements and assist in technology-related developments ensuring appropriate prioritization and end-user testing.
Continually identify and enhance the overall control environment and operating model across core operational activities improving timeliness and reducing operational risk to the firm.
Required Qualifications Skills and Capabilities:
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 datadriven decisions for senior stakeholders.
Proven leadership experience including the ability to facilitate project and process improvements across a large organization.
Strong technical leadership with handson depth in SQL and Python; advanced Excel skills and proficiency with Tableau and Alteryx.
Independent principled decisionmaker with clear tradeoff articulation under time pressure; escalates effectively and drives to sustainable outcomes.
Demonstrated ability to lead teams through highstakes 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 endtoend lifecycle of AIenabled solutions for liquidity data quality reconciliations and variance analysis with human review monitoring and governance.
Preferred Qualifications Skills and Capabilities:
Experience with SQL Python or data visualization tools such as Tableau is a plus.
Bachelors degree required; advanced degree in Finance Data Science Computer Science or related field preferred. Relevant certifications in cloud data engineering or ML/AI are advantageous.
Required Experience:
Exec
DescriptionJoin Treasury and Chief Investment Office (TCIO) at JPMorgan and take part in firm-wide asset and liability management for one of the worlds largest global financial institutions managing a $2.5 trillion balance sheet which includes over $900 billion in loans and $1.4 trillion in deposits...
DescriptionJoin Treasury and Chief Investment Office (TCIO) at JPMorgan and take part in firm-wide asset and liability management for one of the worlds largest global financial institutions managing a $2.5 trillion balance sheet which includes over $900 billion in loans and $1.4 trillion in deposits. Positioned at the center of the firm TCIO directly influences the composition of the firms balance sheet and the activities of its main LOBs: Asset Management (AM) Commercial & Investment Bank (CIB) and Consumer & Community Banking (CCB).
As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO) part of the TCIO organization you will support the Firms daily external liquidity reporting. You will be part of a team responsible for overseeing the operating model that supports data aggregation used in the firms risk reporting process (e.g. balance sheet details forecasts and assumptions). This includes executing key data integrity controls reconciliations adjustments and analytics. You will also coordinate the production of several firm-wide LOB and legal entity-level risk reports (e.g. 6G LCR Stress) by agreed deadlines. This involves collaborating with global contacts to quickly research and explain variances in key risk measures and facilitating sign-off by senior risk stakeholders before report distribution internally and to regulators.
Job Responsibilities:
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.
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.
Prepare analyze and provide commentary for internal and external reports to stakeholders.
Conduct data analysis to identify and implement business validation rules to support the transition to an exception-based operating model.
Set the modernization roadmap and standards for the analytics/tooling stack (Tableau Excel Python) driving consolidation scalability and resiliency across solutions.
Determine business drivers behind variances and communicate impacts to partner groups such as Liquidity Risk Management and Liquidity Management.
- Partner with internal data source providers and risk stakeholders across all lines of business to complete data investigations and resolve data quality issues aiming to improve the timeliness and accuracy of all risk reporting continuously.
- Respond to internal or regulatory requests to complete ad hoc data analysis or produce custom reports as needed.
Support LRI tech/business enhancements and assist in technology-related developments ensuring appropriate prioritization and end-user testing.
Continually identify and enhance the overall control environment and operating model across core operational activities improving timeliness and reducing operational risk to the firm.
Required Qualifications Skills and Capabilities:
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 datadriven decisions for senior stakeholders.
Proven leadership experience including the ability to facilitate project and process improvements across a large organization.
Strong technical leadership with handson depth in SQL and Python; advanced Excel skills and proficiency with Tableau and Alteryx.
Independent principled decisionmaker with clear tradeoff articulation under time pressure; escalates effectively and drives to sustainable outcomes.
Demonstrated ability to lead teams through highstakes 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 endtoend lifecycle of AIenabled solutions for liquidity data quality reconciliations and variance analysis with human review monitoring and governance.
Preferred Qualifications Skills and Capabilities:
Experience with SQL Python or data visualization tools such as Tableau is a plus.
Bachelors degree required; advanced degree in Finance Data Science Computer Science or related field preferred. Relevant certifications in cloud data engineering or ML/AI are advantageous.
Required Experience:
Exec
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