Quantitative Finance Analyst: Risk Modeling & Data

NBMBAA

Charlotte (NC)

On-site

USD 110,000 - 160,000

Full time

3 days ago
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Job summary

Bank of America’s Global Risk Analytics (GRA) AMG Team is seeking a highly motivated Quantitative Finance Analyst to support enhancements to Wholesale and Consumer loss forecasting models and to develop new models. The role involves rigorous quantitative work, documentation for internal and regulatory purposes, and collaboration across risk and business units.

The candidate will engage in model development lifecycle tasks, apply statistical estimation techniques, and promote best practices in

Qualifications

  • Quantitative degree required (Master’s; PhD preferred) in a relevant field.
  • Experience in developing, documenting and maintaining risk/capital models.
  • Ability to work with large datasets.
  • Strong programming and technical writing skills.

Responsibilities

  • Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers.
  • Supports the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization.
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation.
  • Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.
  • Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk.
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes.
  • Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches.

Skills

Statistics
Probability theory
Econometrics
Financial mathematics
SQL
Python
VBA
LaTeX
Technical writing
Communication
Working under pressure

Education

Master’s degree or PhD in Statistics/Financial Mathematics/Applied Mathematics/Economics/Physics/Engineering

Job description

Bank of America’s Global Risk Analytics (GRA) AMG Team is seeking a highly motivated Quantitative Finance Analyst to support enhancements to Wholesale and Consumer loss forecasting models and to develop new models. The role involves rigorous quantitative work, documentation for internal and regulatory purposes, and collaboration across risk and business units.

The candidate will engage in model development lifecycle tasks, apply statistical estimation techniques, and promote best practices in

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Benefits eligible
Annual discretionary plan
Discretionary incentive