Quantitative Finance Analyst

Job Description

This role 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.

• 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.

Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst within our Global Risk Analytics (GRA) function. Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM) and responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America.

GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.

The Global Markets Risk Analytics (GMRA) team under GRA is responsible for developing, maintaining, and monitoring Counter party Credit Risk (CCR), the Internal Model Method (IMM), Central Clearing Counter parties (CCP), Value at Risk (VaR) and Asset Liability Management (ALM). GMRA also develops analytical tools to support regulatory, audit, and internal risk management needs for Global Markets.

This role sits within Model Performance team (MP), which is responsible for monitoring and assessing the performance of all risk models used across Global Markets – supporting risk management in understanding the drivers behind material risk metric movement, the impact of model limitations, and working with the model development team to enhance model accuracy and the overall performance of the analytics platform.

• Performing in-depth analysis on the bank’s risk model results using various quantitative tools such as backtesting, benchmarking, sensitivity analysis.
• Quantifying the impact of model limitations both in terms of firm level capital and name level exposure.
• From this analysis, pulling together the overall holistic picture of model performance along with clear conclusions on overall accuracy and remediation areas as required.
• Identifying common themes across global markets along with improvement initiatives.
• Communicating the results of this analysis to all model stakeholders including risk management, model development, model risk, senior management and our regulators.
• Supporting model development in confirming remediation of model issues prior to their being taken live.
• Driving incremental…