College or University Degree in Accounting, Finance, Economics, Statistics, Math, Engineering or other quantitative field (preferred)
4-7 years’ work experience in financial modeling working in a financial institution, regulatory agency, consulting firm or related field (required)
Foundational understanding of balance sheet management, primarily in Asset Liability Management and Liquidity Risk Management
Working knowledge of balance sheet strategy, risk assumption/model development, product pricing, global economic/yield curve environment, and business strategy
Knowledge of QRM, SQL, SAS, Matlab or other financial valuation and modeling platforms
Proficient in Microsoft Excel and Access
Familiarity with Asset Liability Management, Interest Rate Risk Management, Liquidity Risk Management, and Funds Transfer Pricing
Knowledge of global regulatory requirements and expectations that govern liquidity risk, interest rate risk, and modeling practices
Strong analytical and quantitative skills, critical thinking, investigative problem-solving, and decision-making talents
Strong written and verbal communication skills with the ability to lead the development of senior management level presentations
Organized and able to execute responsibilities with minimal supervision
Responsibilities
Be a leader on the Balance Sheet Modeling and Quantitative Analytics team/function
Work with the Head of Balance Sheet Modeling and Analytics and/or Balance Sheet Modeling and Analytics Team Leader to set team objectives and strategic priorities
Leverage QRM for Balance Sheet Analysis and Modeling
Participate in the development of key Asset Liability Management reports, models, and assumptions for liquidity risk and asset and liability risk measurement efforts, including operational deposits, non-maturity deposit betas, asset prepayment speeds, and deposit decay rates
Conduct ad-hoc analysis to aid senior management and executive committees in the decision-making process impacting product pricing, balance sheet optimization, and investment selection
Support the broader Treasury team by providing quantitative support in the build out of liquidity risk framework tools; liquidity limits calibration, early warning indicators, liquidity stress tests assumptions, and resolution planning scenario/assumption development, and interest rate risk measurement processes
Communicate financial issues in a clear and concise manner to senior management, internal oversight groups, and external regulators
Lead the development of robust documentation to support major assumptions and models used in liquidity and interest rate risk measurement processes
Participate in the strategic modeling efforts for financial products that will help drive Treasury’s balance sheet optimization strategy