Sr Quantitative Finance Analyst
Charlotte, North Carolina
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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 an 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 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 complex modeling projects for specific business units or risk @types. Key responsibilities include leading the implementation and development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Responsibilities:
Turn modeler code into a highly scalable big-data production application
Identify 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
Lead and provide 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
Work closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
Perform analysis on large datasets and interpret results using both qualitative and quantitative approaches
Minimum Education Requirement: Master's degree in related field or equivalent work experience
Required Skills and Experience: Successful candidates will have a minimum 10 years relevant experience and will possess the following skills:
Advanced big data software development skills in both python and spark
Deep expertise in Loss and Risk Forecasting Automation: odds calculations, cash flow calculations, model monitoring, back testing, reporting, etc.
Sees the broader picture and can identify new methods for doing things
Experience with Linux operating system and command line tools
Familiar with software design principles: separation of concerns, single responsibility, DRY, etc.
Understanding of algorithms and data structures
Experience with version control systems, i.e., Git
Knowledge of SQL
Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
Experience implementing models into various production environments
Demonstrated leadership skills; Ability to exert broad influence among peers
Strategic thinker that can understand complex business challenges and potential solutions
Ability to work in a large, complex organization, and influence various stakeholders and partners
Ability to work in a highly controlled and audited environment
Desired Skills and Experience: The ideal candidate will possess the following skills and experience:
GRA Core Platform (GCP) experience
Familiar with systems architecture concepts: service based, layered, microservices, scalability patterns
Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
Experience creating, optimizing, and debugging software solutions deployed into distributed computing environments (experience with Spark is a plus)
Familiar with use of vectorization and data locality concepts to optimize software efficiency
Experience with high performance Python libraries, i.e., Numpy, Numba, Cython
Experience with LaTeX
Familiarity with SDLC tools: unit testing libraries, Jira, Jenkins
Consumer Financial Product Industry experience
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
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.
To view the "Know your Rights" poster, CLICK HERE (https://www.eeoc.gov/sites/default/files/2023-06/22-088\EEOC\KnowYourRights6.12.pdf) .
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Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.
This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.
