ALM & Balance Sheet Analytics Associate

PNC

Kentucky

Presencial

USD 90.000 - 150.000

Jornada completa

Hace 12 días

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Descripción de la vacante

PNC in New York City seeks an Associate for its CIO Portfolio Management and Analytics team. You will work directly with senior portfolio managers to build expertise in balance sheet analytics, fixed-income attribution, and interest rate risk management using quantitative methods and programming.

The role emphasizes Python/SQL modeling, data pipelines, and scalable BI infrastructure, with cross-functional collaboration across finance, risk, economics, and accounting.

Formación

  • Bachelor’s degree in a quantitative field such as CS, Data Science, or Finance.
  • Strong quantitative and analytical skills with data-driven problem solving.
  • Proficiency in Python and SQL with large datasets.
  • Strong communication and ability to convey insights clearly.
  • Attention to detail and ability to manage time-sensitive analytical deliverables.

Responsabilidades

  • Analyze balance sheet and portfolio risk, return, and performance.
  • Perform stress testing, scenario analysis, and projections.
  • Develop Python-based financial models and data pipelines.
  • Build scalable data, reporting, and BI infrastructure for CIO analytics.
  • Collaborate with Portfolio Management, Balance Sheet Management, Economics, Finance, Market Risk, and Accounting.
  • Identify opportunities for automation and AI with proper controls and production stability.

Conocimientos

Quantitative skills
Python
SQL
Communication
Attention to detail
Time management

Educación

Bachelor's degree in quantitative field (CS/Data Science/Financial Eng/Math/Finance)
Master's degree in a related quantitative discipline

Herramientas

Power BI

Descripción del empleo

PNC in New York City seeks an Associate for its CIO Portfolio Management and Analytics team. You will work directly with senior portfolio managers to build expertise in balance sheet analytics, fixed-income attribution, and interest rate risk management using quantitative methods and programming.

The role emphasizes Python/SQL modeling, data pipelines, and scalable BI infrastructure, with cross-functional collaboration across finance, risk, economics, and accounting.

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