Bank of America - Charlotte, NC

posted about 2 months ago

Full-time - Mid Level
Charlotte, NC
Credit Intermediation and Related Activities

About the position

The Quantitative Financial Analyst position within the Corporate Treasury Quantitative Analytics team at Bank of America focuses on applying quantitative methods for effective asset liability management. The role involves developing models for financial forecasting, risk measurement, and decision-making support, utilizing advanced computational techniques on a proprietary platform.

Responsibilities

  • Research and apply quantitative techniques in financial mathematics, applied mathematics, and statistics to enhance forecasting for risk measurement and asset liability management.
  • Design and build behavioral and forecasting models, along with pricing and valuation tools, for loan and deposit products on the bank's balance sheet.
  • Responsible for technical documentation, model implementation, data management, model analysis, and model performance monitoring.
  • Contribute to process improvement and automation across all of these activities.

Requirements

  • Doctoral degree in a STEM/Economics field or a Master's degree with strong skills in Economics and Finance.
  • Strong analytical skills and critical thinking with a strong desire to learn.
  • Excellent communication skills and ability to work well in a cooperative, time-sensitive, market-driven environment.
  • Ability to manage multiple priorities with minimal supervision.
  • Expertise in Statistical Programming Software such as R, and experience in data analysis.

Nice-to-haves

  • Strong academic background in econometrics or statistics (M.S. or PhD).
  • Experience with financial markets and banking.
  • Experience with computational and simulation methods.
  • Experience in one or more of the following languages: Python, SQL, Spark.
  • Experience working with Unix/Linux environment.

Benefits

  • Competitive benefits to support physical, emotional, and financial well-being.
  • Opportunities for learning and career growth.
  • Flexible working arrangements.
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