Senior Quantitative Finance Analyst – Mortgage Risk

Bank of America; Chicago (IL); Presencial; USD 155.000 - 165.000; Jornada completa

Descripción de la vacante

Bank of America N.A. is seeking a highly skilled quantitative analyst to provide analytical support for product strategies and risk management of residential mortgage portfolios.

The role involves developing statistical models and notes for senior leadership, with a focus on portfolio trends and performance reporting. The ideal candidate holds a Master’s degree with 3+ years of experience, proficient in Python, SAS, SQL, and R, and capable of communicating complex insights to stakeholders.

Formación

• Master's degree or equivalent in Economics, Statistics, Business Administration, or a related field with 3 years of relevant experience.
• Experience analyzing large, complex financial datasets using Python, SAS, SQL and R.
• Experience building and evaluating statistical models (linear, auto regression, or logistic) for risk analytics and loss forecasting.

Responsabilidades

• Provide analytical support on product strategies to meet company goals.
• Coordinate production of performance reports for senior management.
• Analyze portfolio trends, including credit score cutoffs and loss trends.
• Develop and use models and databases to provide statistical and financial modeling.
• Drive advanced analytics in risk management of residential mortgage portfolios.

Conocimientos

Financial data analysis

Statistical modeling

Big data SQL

Quantitative risk analytics

Stress testing analysis

Educación

Master's degree or equivalent in Economics, Statistics, Business Administration, or a related field

Herramientas

Python

SAS

SQL

R

C++

Descripción del empleo

Bank of America N.A. is seeking a highly skilled quantitative analyst to provide analytical support for product strategies and risk management of residential mortgage portfolios.

The role involves developing statistical models and notes for senior leadership, with a focus on portfolio trends and performance reporting. The ideal candidate holds a Master’s degree with 3+ years of experience, proficient in Python, SAS, SQL, and R, and capable of communicating complex insights to stakeholders.