Senior Quantitative Finance Analyst

Charlotte, NC, United States

Senior Quantitative Finance Analyst page is loaded Senior Quantitative Finance Analyst Apply locations Charlotte Atlanta Chicago time type Full time posted on Posted 2 Days Ago job requisition id 24009908 Job Description:

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Job Description and Role Responsibilities

Bank of America Merrill Lynch has an opportunity for a Sr. Quantitative Financial Analyst within our Global Risk Analytics (GRA) function. GRA is a sub-line of business within Global Risk Management (GRM). GRA is responsible for developing a consistent and coherent set of models and analytical tools 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 that its models and analytics address both internal and regulatory requirements, such as quarterly Enterprise Stress Testing (EST), the annual Comprehensive Capital Analysis and Review (CCAR), and the Current Expected Credit Losses (CECL) accounting standard. GRA models follow an iterative and ongoing development life cycle, as the bank responds to the changing nature of portfolios, economic conditions and emerging risks. In addition to model development, GRA conducts model implementation, data management, model execution and analysis, forecast administration, and model performance monitoring. GRA drives innovation, process improvement and automation across all of these activities.

Overview of Consumer Model Development

The Consumer Model Development & Operations (CMDO) team is part of Global Risk Analytics. It provides quantitative solutions to enable effective risk and capital management across the Retail and Global Wealth & Investments Management (GWIM) lines of business.

The team places strong emphasis on delivering world class quantitative solutions for Front Line Unit (FLU) model owners and stakeholders through a disciplined and iterative development process. The team has responsibilities across a number of areas:

• Quantitative Modeling – Develop and maintain risk and capital Models and Model Systems across Retail and GWIM product lines. Models and Model Systems provide insight into many risk areas, including loan default, exposure at default (EAD), loss given default (LGD), delinquency, prepayment, balances, pricing, risk appetite, revenues and cash flows.

• Quantitative Development – Architect, implement, maintain, improve and integrate quantitative solutions on strategic GRA platforms. Outputs include GRA libraries that perform consumer risk model calculations, analytical tools, processes and documentation. Partner in defining, adopting, and executing GRA’s technical strategy.

• Risk and Capital Management Capabilities – Build best in class quantitative solutions that enable the Retail and GWIM lines of business to effectively manage risk and capital, through the application of the disciplined BAU development process that includes extensive interaction with the FLU model owners and stakeholders throughout the quantitative lifecycle.

• Infrastructure – Partner in driving forward the infrastructure to support the goals of GRA through code efficiencies, and expansion of quantitative capabilities to better leverage infrastructure and computational resources.

• Documentation – Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations.

Successful candidates will possess the following skills:

* Masters or PhD in Statistics, Economics, Computer Science, or similar discipline

* Minimum 5 years relevant experience

• Develop quantitative solutions on large-scale datasets end-to-end including data extraction, data processing, variable selection, application of statistical and AI/ML algorithms, and performance and sensitivity testing.

• Ability to work in a large, complex organization, and influence various stakeholders and partners

• Self-starter; Initiates work independently, before being asked

• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences;

• Strong programming skills in Python, R, or similar language

• Experience in complex data processing and software development lifecycle with high code quality and efficiency

Desired Skills and Experience

The ideal candidate will possess the following skills and experience:

• Past consumer credit experience to support loss forecasting (CCAR/CECL), risk management, and business strategy is a plus

• Past software engineering and development experience is a plus

• Quantitative thought leadership with ability to execute, strong documentation skills

• Experience with data analytics tools, such as Tableau

• Demonstrated ability to innovate and drive action to achieve results

• Effectively presents analytical finding and quantitative conclusions to influence senior leaders

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:

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Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity.

Regardless of the position you are interested in, the starting points to building your resume are the same:

1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications.

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4. Summarize your abilities, accomplishments and skills into a brief, concise document.

Considerations when writing a resume

• Do be brief. Resumes should be 1-2 pages in length.

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Seven steps to a successful interview

1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview?

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