Bank of America
Quantitative Finance Analyst
Bank of America, Charlotte, North Carolina, United States, 28245
Quantitative Finance Analyst – Bank of America
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and allows the appropriate level of flexibility for our teammates and businesses based on role‑specific considerations.
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.
Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models.
Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented.
Work with technology teams to integrate Python solution into existing in‑house generic platform for process execution.
Ensure that software is developed to meet functional, non‑functional, and compliance requirements.
Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
Minimum Education Requirement Master’s degree in a related field or equivalent work experience.
Skills
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Shift & Hours Shift: 1st shift (United States of America)
Hours per week: 40
Job Details
Seniority level: Entry level
Employment type: Full‑time
Job function: Finance and Sales
Industry: Banking
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Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and allows the appropriate level of flexibility for our teammates and businesses based on role‑specific considerations.
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.
Write Python and/or PySpark code to automate production processes of several risk and loss measurement statistical models.
Work closely with application users, model developers, technology and other business partners to understand and document requirements of production processes to be implemented.
Work with technology teams to integrate Python solution into existing in‑house generic platform for process execution.
Ensure that software is developed to meet functional, non‑functional, and compliance requirements.
Write complex SQL queries to validate production results, integrate results with existing downstream applications and produce reports in format expected by end users.
Minimum Education Requirement Master’s degree in a related field or equivalent work experience.
Skills
Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications
Shift & Hours Shift: 1st shift (United States of America)
Hours per week: 40
Job Details
Seniority level: Entry level
Employment type: Full‑time
Job function: Finance and Sales
Industry: Banking
#J-18808-Ljbffr