What are the responsibilities and job description for the Quantitative Finance Analyst position at Bank of America?
Job Description:
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.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Overview of the Team:
The Global Markets Risk Analytics (GMRA) team under GRA is responsible for developing, maintaining, and monitoring Counterparty Credit Risk (CCR), the Internal Model Method (IMM), Central Clearing Counterparties (CCP), and Value at Risk (VaR). GMRA also develops analytical tools to support regulatory, audit, and internal risk management needs for Global Markets.
This role sits within Market Risk Quants (MRQ) team under GMRA. MRQ team’s remit spans market risk models for internal risk management, market risk capital requirements for Internal Model Approach (IMA) approved Legal Entities within Basel 2.5 regulatory framework, and IMA and Standardized Approach (SA) for upcoming Fundamental Review of the Trading Book (FRTB) regulatory framework, stress testing such as CCAR, EST, ICAAP, Recovery and Resolution Planning, and Climate Risk.
Overview of the Role:
Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products. As a Quantitative Finance Analyst on Market Risk Analytics team, your responsibilities will involve:
Develop quantitative risk models, analytics and applications in support of market risk assessment and regulatory capital calculation
Partner with internal groups including Capital, Risk, Technology, Model Risk Management and Market Risk Management on model enhancement, performance testing and documentation to remediate internal and external requirements
Conduct analysis and verification on market data, risk metrics and P&L time series
Prepare developmental evidence and document to support internal and external exams
Perform analysis for VaR/RNiV model development, documentations/submissions and aid in addressing required action items raised by model risk management, issues from regulators, audit and model performance tests
Perform statistical analysis on market historical data and model parameters
Develop and support benchmarking and backtesting. Identify, analyze, explain any overages
Identify common themes across global markets along with improvement initiatives
Communicate the results of this analysis to all model stakeholders including risk management, model development, model risk, senior management and our regulators
Support model development in confirming remediation of model issues prior to their being taken live
General Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
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:
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:
1st shift (United States of America)Hours Per Week:
40