Bank of America Quantitative Finance Analyst in Atlanta, Georgia
Bank of America has an opportunity for a Quantitative Finance Analyst on the Wholesale Credit Risk Team within the Alternative Modelling Group (AMG) of Global Risk Analytics (GRA).
Modeling and Quantitative Services Group (AMG-QS) function. The GRA team provides quantitative capabilities
supporting global risk management and capital management and develops a consistent set of risk and capital
models and analytical tools that drive the company’s technology infrastructure.
AMG-QS function partners with GRA teams to develop and deliver modeling solutions and analytical tools in
order to address MRA/MRIA requirements; provides quantitative expertise for a broad range of modeling areas
across the Enterprise; builds and maintains the analytics infrastructure which supports GRA’s modeling library;
develops robust back-testing frameworks.
This role will have a particular emphasis on model development aspects. The role will involve the development
and enhancement of capital and loss forecasting models within the bank. This is a challenging and intellectually
stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of
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. Work as a part of a team to develop or enhance loss forecasting models to improve risk management capability and support stress testing processes. Pro-actively seeks out work and add value to existing models/processes. Produce clear and coherent technical documentation for internal and regulatory purposes. Take ownership to deliver results and meet critical deadlines.
Highly numerical degree (PhD level preferred, Masters required) in Statistics, Financial Mathematics, Mathematics, Physics or Engineering
2+ years of work experience
Meaningful work experience focused on maintaining & developing quantitative models and handling large data sets
Strong technical writing and clear verbal communication skills are must have.
Experience of working under pressure and delivering to tight deadlines
Technical skills: Statistics, Probability Theory, Econometrics, Financial Mathematics
Strong programming skills; SQL, Python, VBA, LaTex
Proven leadership abilities, working across organizational lines
Knowledge of Probabilities / Statistics
Ability to multitask and properly prioritize multiple projects.
Desired Skills :
Prior experience with credit risk analytics.
Relevant work experience with wholesale and consumer credit, or other financial products.
Prior Credit Risk Management, Modeling and/or Finance experience.
Knowledge of regulatory guidelines and stress testing including CCAR, DFAST, and regulatory Capital in Banking industry.
Posting Date : 04/19/2019
Atlanta, GA, Atlanta Plaza, 600 Peachtree St NE,
- United States
Travel : Yes, 5% of the time
Full / Part-time : Full time
Hours Per Week : 40
Shift : 1st shift
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