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Quantitative Finance Analyst

Charlotte, North Carolina;

Job Description:

Job Description:

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), the Current Expected Credit Losses (CECL) accounting standard, and the Fundamental Review of the Trading Book (FRTB). 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.

Business Overview:
The Bank of America’s Alternative Modeling Group is seeking a junior quantitative analyst. The group’s work centers on asset quality and credit loss forecasting, in both consumer and commercial products. The position will involve model building and data curation. Although work in the group is typically collaborative, researchers are often given control over substantial projects: all researchers are expected to be intellectually independent self-starters. The team places strong emphasis on delivering world class quantitative solutions for model owners and stakeholders through a disciplined and iterative development approach. This is an excellent opportunity to work in a fast growing, international team.

Position Overview:

Responsible for independently conducting quantitative analytics and modelling projects and developing new models, analytic processes and systems approaches. This person will create documentation for all activities and works with Technology staff to design any system to run the models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products. As a Quantitative Finance Analyst your main responsibilities will involve:

  • Development and maintenance of behavioral models or analytical tools.
  • Independent execution of quantitative analytics and complex modelling projects.
  • Organization and preparation of development documentation and supporting materials.
  • Presentation to senior management and other key stakeholders.
  • Cross functional support for model installation and ongoing monitoring.
  • Ability to identify risks and issues proactively and frame the range of potential outcomes driving the business forward.
  • Contribution to strategic direction via quantitative tools and solutions.
  • Become a key contributor in a global organization of quantitative associates in support of world class risk management capabilities and culture.

Key Requirements:

  • Master’s Degree or PhD in a quantitative discipline or STEM program.
  • 2+ years of experience in delivering quantitative solutions (modeling, forecasting, etc.)
  • Ability to produce high quality documentation and presentation materials using Microsoft office.
  • Strong written / verbal communication and interpersonal skills in order to work with cross-functional teams.
  • Ability to present and consult with senior management and business stakeholders.
  • Ability to multitask, prioritize, and work under pressure to meet deadlines.
  • Facility with mathematics (linear algebra, probability and statistics, differential equations) and computer programming
  • Programming skills and experience with languages such as Python, R, or other comparable languages.
  • Experience with SQL and querying large relational databases (DB2, Teradata, Hadoop, Hive, etc.)

Desired Skills:

  • Research experience in Credit Risk
  • Training in Data Science/Machine Learning
  • Knowledge of banking products and services.
  • Documentation using LaTeX.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21006528

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Referral Bonus: