Quantitative Finance Analyst - Risk Modeling

Sunseeker Property Service; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America is seeking a highly skilled Quantitative Finance Analyst to conduct quantitative analytics and modeling for risk types and business units. The role focuses on building models, documenting methodologies, and collaborating with Technology to deploy solutions.

The candidate should have a strong background in finance, programming (R/Python/SAS/SQL), and data analysis, with experience in risk management and clear communication to leadership teams.

Qualifications

• Master’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar.
• 5+ years professional experience developing credit risk models.
• Strong programming skills in R, Python, SAS, SQL or equivalent.
• Demonstrated ability to communicate quantitative topics to both technical and non-technical audiences.
• Experience with cross-sectional models and model deployment in production environments.

Responsibilities

• Perform end-to-end market risk stress testing including scenario design and reporting.
• Support model development and model risk management in focus areas.
• Prepare documentation and white papers for developed models.
• Interact with internal model risk management and stakeholders.

Skills

Quantitative analytics

Risk modeling

Data analysis

Communication skills

Problem solving

Leadership

Team player

Time management

Attention to detail

Cross-functional collaboration

Education

Master's degree in Math/Economics/Statistics/Engineering/Finance/CS

Tools

R

Python

SAS

SQL

Alteryx

Tableau

LaTeX

Hadoop

Machine Learning

Data Warehouses

Job description

Bank of America is seeking a highly skilled Quantitative Finance Analyst to conduct quantitative analytics and modeling for risk types and business units. The role focuses on building models, documenting methodologies, and collaborating with Technology to deploy solutions.

The candidate should have a strong background in finance, programming (R/Python/SAS/SQL), and data analysis, with experience in risk management and clear communication to leadership teams.