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CFO - Corporate Investment Quantitative Financial Analyst - Asset Liability Management
CFO - Corporate Investment Quantitative Financial Analyst - Asset Liability ManagementNorth Carolina Staffing • Charlotte, NC, US
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CFO - Corporate Investment Quantitative Financial Analyst - Asset Liability Management

CFO - Corporate Investment Quantitative Financial Analyst - Asset Liability Management

North Carolina Staffing • Charlotte, NC, US
2 days ago
Job type
  • Full-time
Job description

CFO - Corporate Investment Quantitative Financial Analyst - Asset Liability Management

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities, and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

This job is responsible for conducting quantitative analytics and modeling projects, incorporating quantitative problem-solving skills, professional judgment, and core subject matter expertise regarding financial market drivers and products. Key responsibilities include developing new models, analytic processes, and systems approaches. Job expectations include coding, scripting, implementations, and statistical and econometric modeling. This job is responsible for daily forecasting and analyzing of the bank's balance sheets, Net Interest Income (NII), Funds Transfer Pricing (FTP) and interest rate risk sensitivity.

Key responsibilities include partnering with Line of Business (LOB) leaders and teammates across Corporate Treasury, Risk, and the Chief Financial Office (CFO) to deliver a dynamic, accurate, and disciplined forecast by product, LOB, and legal entity under baseline and / or stress scenarios. Principal subject matter expert responsible for forecasting the firms balance sheet and net interest income and / or monitoring and reporting on the firms interest rate sensitivity. Responsible to deliver a dynamic, accurate and disciplined forecast by product, LOB and Legal Entity under baseline and stress scenarios. Responsible for quality assurance and controls around pertinent external regulatory reporting and risk limits.

Balance Sheet Management (BSM) is a division within the CFO Group responsible for providing executive management with accurate and timely analysis of the balance sheet, net interest income (NII), and non-interest income across Actuals and Forecast. Information generated by this team provides the framework which allows the company to position its balance sheet consistent with its risk appetite and expectations for changes in interest rates. BSM maintains close partnerships with various groups across the enterprise, providing key input to critical processes and strategic decisions. Coordination with Global Risk, Model Risk, Funding Managers, and other Treasury teams facilitates strategic ALM decisions within a controlled framework. The Interest Rate Analytics (IRA) team is responsible for daily, monthly, and quarterly monitoring of the banks balance sheet positioning as well as ad hoc analytics to support decision making across Treasury. The IRA team starts with the Banks spot data position and baseline forecast, then applies a variety of interest rate shocks both parallel and non-parallel to quantify and report the Banks IRR. The interest rate scenarios are largely focused on + / -100 basis points (bps) shocks, however, larger, and smaller shocks are also modeled, analyzed, and reported. The Bank has established risk limits for each metric across the various interest rate shocks, both at the Risk Appetite and non-risk appetite levels.

Responsibilities :

  • Applies quantitative methods that include, but are not limited to, econometric and statistical forecasting models
  • Provides quantitative models and analytical support for decision making and risk measurement
  • Develops models for deployment on the Quantitative Finance Analytical Platform, a proprietary platform for advanced computational needs within Corporate Treasury
  • Maintains an analytical computing platform spanning multiple geographical locations and including thousands of computer cores, leveraging Linux technology and C++
  • Writes production code, researching, designing, delivering and implementing quickly and accurately on a shared platform
  • Delivers forecast analysis and reporting with accuracy, presenting results to senior management
  • Applies subject matter expertise of the key drivers of the Line of Business, Product balance sheet and Net Interest Income (NII) forecasts, Funds Transfer Pricing (FTP), and FDIC expenses, challenging the forecast and highlighting potential risks
  • Identifies opportunities to enhance or simplify processes, improving analytical capabilities for stakeholders
  • Delivers forecasting, securitization, deposit pricing, and annual report disclosures with a high level of autonomy
  • Interest Rate Risk measurement and analysis for the banking book
  • Multiple tools covering earnings and capital at risk on a daily, weekly, and monthly basis
  • Partners with Risk to establish risk appetite and monitor different risk appetite statements and non-risk appetite limits
  • Performs routine assumption sensitivity analysis ranging from static balance sheet, securities prepayment and reinvestment, deposit rate paid and mix, EVE truncation, etc. OCI forecasting for stress testing

Skills :

  • Analytical Thinking
  • Data and Trend Analysis
  • Financial Analysis
  • Financial Forecasting and Modeling
  • Reporting
  • Adaptability
  • Attention to Detail
  • Regulatory Compliance
  • Risk Analytics
  • Scenario Planning and Analysis
  • Benchmarking
  • Business Acumen
  • Business Analytics
  • Financial Management
  • Required Qualifications :

  • Minimum 2 years of experience in data analytics with emphasis on design, testing, and implementation of calculations related to net interest income, cash flows, or risk analytics
  • Finance / Accounting knowledge experience in balance sheet management, forecasting, or other Corporate Treasury functions
  • Understanding of financial market dynamics, interest rates, accounting, and financial products
  • Ability to manage multiple priorities in a time sensitive environment
  • Ability to work across multiple teams in a collaborative environment
  • Proficient in MS Office tools, especially Microsoft Excel & SQL skills
  • Inquisitive, willing to challenge the status quo and strive to improve processes
  • Desired Qualifications :

  • Experience analyzing fixed income securities, interest rate derivatives
  • Technical Business Analyst skills (SQL, VBA, Python)
  • Prior experience with Model Risk Management
  • Minimum Education Requirement : Bachelor's degree Finance, Business, or Computer Science

    Shift : 1st shift (United States of America)

    Hours Per Week : 40

    Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

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