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Corporate Treasury - Liquidity Controller - Vice President

Req #: 170072545
Location: Jersey City, NJ, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 0 US Dollar (USD)
The cross-Line of Business Treasury-CIO team has been instituted to support the Treasury teams in our business units. The team plays a critical role in performing data validation, reconciliation, scenario analysis and reporting of the firm’s Liquidity & Structural Interest Rate risks. The team is responsible to ensure the accuracy and completeness of all information in support of the firm’s internal and regulatory Liquidity Risk and Interest Rate Risk reporting and analytics, including compliance with specific jurisdictional requirements by line of business, legal entity and currency. We also partners with a wide range of stakeholders across the firm in:
  • daily reconciliation of balances to the general ledger
  • impact analyses for changes in regulatory reporting (e.g. LCR, 5G, Stress, Recovery & Resolution etc.)
  • strategic sourcing, automation of feeds from various source systems into the central technology platforms in Treasury-CIO
  • ensuring data quality controls in upstream sources & aggregation platforms
Our team consists of functional and technical experts who currently cover all aspects of Liquidity Risk across multiple products in Corporate & Investment Bank (CIB) banking & trading books. We are looking to hire talent to build on our product expertise and support the growth of our global operating model across all lines of businesses.
Key responsibilities will include:
  • Partner with senior stakeholders in the LOBs, Controllers, Global Treasury and other related areas to obtain, understand, and analyze Balance sheet data & other relevant information such as forecasts, assumptions etc. and their impact on the firm’s liquidity & structural interest rate risk management
  • Lead the strategy & execution of a product-based consistent operating model in cross-LOB T/CIO team to support the firm’s liquidity risk management program to cover the banking and trading book across all LOBs
  • Define the operating model & execution roadmap for the cross-LOB T/CIO team in support of the global structural interest rate risk management program
  • Develop deep expertise in banking book and trading book products across LOBs, spot & forecasted Balance sheet analysis, regulatory reporting (e.g. LCR, 5G, EaR etc.) requirements
  • Partner with product leads to identify opportunities for process improvements, remediate data quality issues, automation etc.
  • Champion the prioritization & implementation of technology initiatives (e.g. big data, Tableau etc.) with the relevant program managers & Technology partners to increase the value of the T/CIO aggregation platforms for the LOBs
  • Train, mentor, coach the team to develop subject matter expertise in relevant products and functional areas & help the build out of the cross-LOB team
  • Participate in other strategic initiatives, process improvements, optimization, and technology initiatives, as needed
 
 
Qualifications
 
The candidate must be a self-starter who is able to work in a fast paced, results driven environment, be skilled in performing complex quantitative analysis, and have a keen interest in capital markets. Additional qualifications required:
  • Bachelor’s degree with 4+ years in the financial services industry preferably within Treasury or regulatory reporting/policy department, or  change initiatives
  • Good understanding of Liquidity and/or Interest Rate Risk Management
  • Ability to build network & use influencing skills to work effectively with stakeholders across all levels of the organization
  • Process re-engineering experience with the ability to challenge the status quo & drive positive change in the organization
  • Prior team management experience in a matrix reporting environment preferable
  • Experience working with development teams for the implementation of IT solutions, with a working knowledge of data quality processes
  • Strong analytic, creative thinking and problem solving skills. Comfortable in building models, managing large amounts of data and identifying solutions to issues.
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