About this role
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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
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 driversSupports the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritizationIdentifies 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/validationSupports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetiteSupports 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 riskWorks closely with model stakeholders and senior management with regard to communication of submission and validation outcomesPerforms 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.
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), 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.
Overview of the Role As a Quantitative Finance Analyst, your responsibilities will involve:
Performing in-depth analysis on the bank's risk model results using various quantitative tools such as backtesting, benchmarking, sensitivity analysisQuantifying the impact of model limitations both in terms of firm level capital and name level exposureFrom this analysis, pulling together the overall holistic picture of model performance along with clear conclusions on overall accuracy and remediation areas as requiredIdentifying common themes across global markets along with improvement initiativesCommunicating the results of this analysis to all model stakeholders including risk management, model development, model risk, senior management and our regulatorsSupporting model development in confirming remediation of model issues prior to their being taken liveDriving incremental improvement to our model performance assessment toolset across all business areas 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.
Required Qualifications:
Master degree and above (or equivalent), preferably in quantitative finance or a quantitative fieldSolid working experience (2 years +) in a related field (Market Risk, Middle Office, Counterparty Credit Risk).Broad financial product knowledgeExperience in data analysis, with excellent research and analytical skillsProven programming skills (Python, C++, SQL, or equivalent object-oriented programming)Good written and oral communication, interpersonal and organizational skills and ability to build and maintain relationships with personnel across areas and regionsAbility to multitask with excellent time management skillsSense of focus and rigor in the completion of deliverablesPro-active behavior with capacity to seize initiative Skills:
Critical ThinkingQuantitative DevelopmentRisk AnalyticsRisk ModelingTechnical DocumentationAdaptabilityCollaborationProblem SolvingRisk ManagementTest EngineeringData ModelingData and Trend AnalysisProcess Performance MeasurementResearchWritten Communications Minimum Education Requirement: Master's degree in related field or equivalent work experience
Shift: 1st shift (United States of America)
Hours Per Week: 40
Pay Transparency details
US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)
Pay and benefits information
Pay range
$89,800.00 - $155,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.