Northern Trust

Manager, Head of Analytics & Balance Sheet Strategy

Location
Chicago, IL, US
Salary
Unspecified
Posted
16 Aug 2022
Closes
16 Sep 2022
Ref
100826
Contract type
Permanent
Hours
Full time
Experience level
Manager

The Global Asset Liability Management Team is responsible for the measurement, coordination and oversight of the Corporation’s global asset liability management, Balance sheet strategy, Interest Rate Risk Measurement, Funds Transfer Pricing methodology, and the development and deployment of analytical, quantitative modeling approaches of balance sheet products to support the Corporation’s Interest Rate Risk measurement and profitability processes. The Team plays a critical role in performing interest rate risk, liquidity & balance sheet modeling, scenario analysis and reporting of the firm’s structural Interest Rate risks. The team is responsible for 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. The team also partners with a wide range of stakeholders across the firm in reconciliation of balances to the general ledger, strategic sourcing, and automation of feeds from various source systems into the central finance/treasury platforms, ensuring data quality controls in upstream sources & aggregation platforms.

This role, reporting to the Global Head of Asset Liability Management, will be responsible for leading the quantitative development of models and assumptions across Liquidity and Asset & Liability risk measurement and financial projection processes. Integrating Quantitative Analysis into strategic discussion and senior management decision making. Heading the deposits council and supporting the pricing and profitability of the Bank's loans and deposits through Pricing methodology/strategy,  the Deposit Pricing Committee support and collaboration on Funds Transfer modeling assumptions. You will identify concerns and work closely with business line leaders to gather product information and incorporate changes into risk models. The successful candidate will manage a team of analysts and lead strategic modeling efforts for financial products that will help drive Treasury’s balance sheet strategy.

Additionally this individual will be a seasoned leader with extensive balance sheet management experience primarily in the areas of Asset Liability Management and Liquidity Risk Management. The prospective candidate should have working knowledge of balance sheet strategy, mortgage and deposits pricing, risk assumption/model development, product pricing, global economic/yield curve environment and business strategy which are necessary to support balance sheet strategy and profitability.

Other major duties include:

  • Manage the Balance Sheet Modeling and Quantitative Analytics team/function. Work with the Global Head of Asset Liability Management to set team objectives and strategic priorities while leading the team’s daily execution to ensure business objectives are achieved.
  • Integrating Asset Liability Management/Balance sheet management into strategy and pricing committee decision. Participate discussion with pricing committees.
  • Work as the liaison between business unit leaders and Treasury across all major business units for balance sheet strategies and product development.
  • Cultivating relationships with peers in the businesses, Risk Management, Business Units Leaders, Finance and Corporate Treasury to ensure efficient collection of data/model inputs/assumptions. May provide advice on specific business decisions that will affect liquidity, capital, or interest rate risk.
  • Oversee the development of key 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.
  • Develop Treasury’s practice in Machine Learning and Data Science. Build a framework for advanced data analytics to support Management’s decision making. 
  • Responsible for conducting adhoc analysis to aid senior management and executive committees in the decision making process impacting product pricing, balance sheet strategy, 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. Possess the ability to lead the development of robust documentation to support major assumptions, models, used in liquidity and interest rate risk measurement processes.
  • Ensuring ALM/Interest Rate risk management meet all compliance, audit and regulatory expectations
  • Knowledge of global regulatory requirements and expectations that govern liquidity risk, interest rate risk, and modeling practices.

Experience/Skills:

You’ll be a great fit if in addition to the completion of A college or University Degree in Accounting, Finance, Economics, Data Science, Machine Learning. Statistics, Math, Engineering or other quantitative field, you have some of those skills:

A university degree in Accounting, Finance, Economics, Statistics, Math, Engineering or other quantitative filed is preferred. 7-15 years with prior financial modeling experience working in a financial institution, regulatory agency, consulting firm or related field.

Ideally, the prospective candidate should have model development, strong quantitative, financial, economic and statistical skills. Detail-oriented with excellent math and analytical skills.    

Analytical abilities/financial acumen/problem solving. A passion for analytics and for getting it right and doing things the right way. Strong written and verbal communication skills with the ability to lead the development of senior management level presentations

For further information, and to apply, please visit our website via the “Apply” button below. 

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