Quantitative Finance Analyst
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Bank of America Merrill Lynch has an opportunity for a Quantitative Financial Analyst within our Global Risk Analytics (GRA) function. Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are 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.
Consumer Risk is primarily responsible for :
- Oversight and delivery of key regulatory reviews such as the Current Expected Credit Losses (CECL) accounting standard and the Comprehensive Capital Analysis & Review (CCAR), as well as other strategic initiatives, including data and infrastructure development and maintenance
- Planning and delivery of a coherent model risk management framework and infrastructure across Consumer. These efforts include the development of one universal platform for seamless model development and implementation, and improvements to the quality and consistency of the data sourced for all development and production purposes
- Developing and maintaining risk and capital models and model systems across Consumer product lines. Models and model systems provide insight into various risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows
- Developing and implementing quantitative solutions on strategic Consumer Risk platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes, and documentation
- Conducting research and analysis to improve understanding and assessment of loan portfolios, models used, and forecast results
- Partnering with Consumer lines of business, and front line Risk, Allowance, and Finance teams to ensure consistency and appropriateness of the team's various processes
As a Quantitative Financial Analyst on the Consumer Risk team, your main responsibilities will include :
Managing a portfolio of data intensive operational processes that span multiple complex technologies and infrastructuresBuilding and running operational processes, across large complex multi-sourced data, often on a wide range of quantitative models using applications and coding based solutionsManaging and monitoring controls across model execution and / or the sourcing and provisioning of complex data for multiple end-usersManaging cycle-over-cycle executions and shaping the strategic direction of operations in a highly regulated environmentInteracting with multiple stakeholders to drive consistent on-time delivery of well-considered and thorough solutions, often with short delivery timesLeveraging technical skills to improve, enhance, and automate existing processesProviding regular updates to various stakeholders and senior leadersRequired Skills :
Masters' degree in a quantitative discipline2+ years of experience in model development, model validation, statistical work, data analytics, or quantitative research, or PhDAbility to manage and deliver :Cycle-over-cycle operational processes across data provisioning, model execution, and model performance monitoringClose collaboration with change agents driving operational excellence through strategic changeProcess execution while complying with various policies and regulationsCode development and programming with tools such as Python, PySpark, SQL, Hadoop, HiveAdditional experience with Unix / Linux, Shell Scripting, and SAS is a plusStrong operations management skills and techniques, including :Proficiency in the management of the full project life cycle from inception to full technical and process implementationProficiency in operating in a business and technical environmentDemonstrated personal qualities including :Strong understanding of process controls and safeguardsConfident self-starterQuick learner and intellectually curiousStrong communication skills, both oral and writtenStrong team player, able to lead and followStrong influencing skillsDesired Skills :
Experience working for a financial institution; knowledge of retail banking products, services, processes, and systemsKnowledge of model development / model implementation lifecycleExperience with data analytics / software development lifecycle tools (i.e. Alteryx, Tableau, Horizon / JIRA, etc.)Ability to deliver large scale projects involving changes to analytical processes, quantitative models, complex technology platforms, and analysisSkills :
Critical ThinkingQuantitative DevelopmentRisk AnalyticsRisk ModelingTechnical DocumentationAdaptabilityCollaborationProblem SolvingRisk ManagementTest EngineeringData ModelingData and Trend AnalysisProcess Performance MeasurementResearchWritten CommunicationsMinimum Education Requirement :
Masters degree in related field or equivalent work experience
Shift : 1st shift (United States of America)
Hours Per Week : 40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.