ALM Associate - Balance Sheet Analytics

PNC•New York, NY
•$90,000 - $150,000•Onsite

About The Position

At PNC, employees work together to deliver a strong customer experience and foster an inclusive workplace. This Associate role is based in New York City, New York, within the Chief Investment Office’s Portfolio Management and Analytics team. PNC’s Chief Investment Office oversees approximately $150 billion in investment securities and $80 billion notional of interest rate derivatives. The role works directly with senior portfolio managers and provides exposure to portfolio construction, investment and balance sheet analytics, risk management, and strategic management of the bank’s assets and liabilities. The team also works alongside the Economics Department and modeling functions, including mortgage and deposit modeling. The successful candidate will develop expertise in portfolio analytics, fixed-income performance attribution, net interest income (NII) and balance sheet analytics, portfolio stress testing, and the role of investment and hedging portfolios in managing interest rate risk and the broader balance sheet. The position involves financial analysis, research, due diligence, statistical analysis, stress testing, data aggregation and quality assurance, reporting, and consultation with lines of business on asset and liability management requirements. The candidate will develop and maintain Python-based models and tools, improve data and reporting infrastructure, and work with multiple business and control partners. PNC describes itself as an in-office company. The role is incentive eligible, with payment based on company, business, and/or individual performance. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Financial Engineering, Financial Mathematics, Statistics, Finance, or another quantitative discipline; the general qualifications section also states a bachelor’s degree and allows a comparable combination of education, job-specific certifications, and experience in lieu of a degree.
  • Strong quantitative and analytical skills, with demonstrated ability to solve complex financial and data-driven problems.
  • Strong programming and software development skills, including proficiency in Python and SQL.
  • Experience working with large and complex datasets.
  • Strong communication skills and ability to translate technical analysis into clear business and risk insights.
  • Attention to detail, intellectual curiosity, and ability to independently manage time-sensitive analytical deliverables.
  • Typically, 2 or more years of relevant professional experience at this level; a comparable combination of education, job-specific certification(s), and experience may be considered in lieu of a degree.
  • Demonstrated knowledge, skills, and abilities appropriate to the role.

Nice To Haves

  • Master’s degree or higher in Computer Science, Data Science, Financial Engineering, Financial Mathematics, Statistics, or a related quantitative discipline.
  • Knowledge of fixed-income mathematics, portfolio analytics, interest rate risk, and/or forecasting and planning.
  • Experience developing financial models, scenario analysis, and quantitative tools used to support investment or balance sheet decisions.
  • Experience building scalable data pipelines, analytical applications, and production reporting solutions using large financial datasets.
  • Experience with BI and visualization tools such as Power BI, and familiarity with automation, AI, or modern data analytics techniques.
  • Skills in balance sheets, bookkeeping, budget management, cash flow statements, corporate accounting, financial operations, managerial finance, public accounting, or revenue recognition.

Responsibilities

  • Analyze balance sheet and portfolio risk, return, and performance, including the effects of interest rates and market conditions on NII and the bank’s financial position.
  • Perform stress testing, scenario analysis, and portfolio projections to evaluate interest rate risk and support investment and balance sheet management decisions.
  • Develop, maintain, and enhance Python-based financial models, analytical tools, and data pipelines supporting balance sheet management and interest rate risk analytics.
  • Build and enhance scalable data, reporting, and business intelligence infrastructure to improve the efficiency, transparency, and accessibility of CIO analytics.
  • Partner with Portfolio Management, Balance Sheet Management, Economics, Finance, Market Risk, and Accounting to develop analytical solutions.
  • Identify opportunities for automation and AI while maintaining appropriate controls and production stability.
  • Perform financial analysis, research, and report preparation using independent judgment on methods.
  • Research and collect information for PNC’s balance sheet.
  • Manage and perform defined procedures, analysis, and report preparation for decision-making tasks.
  • Aggregate data and perform quality assurance to support timely and accurate management reporting.
  • Prepare and aggregate data for modeling activities; reconcile and review data quality.
  • Consult with lines of business in responding to ALM requirements.
  • Assess and manage risks associated with business objectives and activities in accordance with PNC’s Enterprise Risk Management Framework.
  • Focus on customer needs and satisfaction in business decisions and customer solutions.

Benefits

  • Medical and prescription drug coverage, including a Health Savings Account feature
  • Dental insurance
  • Vision insurance
  • Employee and spouse/child life insurance
  • Short- and long-term disability protection
  • 401(k) with PNC match
  • Pension plan
  • Stock purchase plans
  • Dependent care reimbursement account
  • Back-up child and elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select fully paid programs
  • Wellness program with financial incentives
  • Maternity and/or parental leave
  • Up to 11 paid holidays each year
  • 9 occasional absence days each year, unless otherwise required by law
  • 15 to 25 vacation days each year, depending on career level and years of service
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