Bank of America Sr Quantitative Finance Analyst in Chicago, Illinois

Job Description:

Bank of America has an opportunity for a Quantitative Analyst for our Global Risk Analytics’ (GRA’s) Quantitative Projects (QP) 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.

QP function partners with GRA teams to develop and deliver modelling solutions and analytical tools in order to address MRA/MRIA requirements; provides quantitative expertise for a broad range of modelling areas across the Enterprise; builds and maintains the analytics infrastructure which supports GRA’s modelling library; develops robust back-testing frameworks.

The role will involve the development and enhancement of capital and loss forecasting models within the bank, with a particular focus on the Federal Reserve Comprehensive Capital Analysis and Revuew (CCAR). This is a high-profile area and presents a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank.

WHAT WILL I BE DOING? (Responsibilities)

As a Quantitative Finance Analyst your main responsibilities will involve:

  • Developing and implementing new models or enhance existing models

  • Maintaining & developing loss forecasting and capital models

  • Seeking out work and enhancing current models/processes

  • Producing clear and coherent technical documentation for internal and regulatory purposes


  • Qualified to MSc or PhD level in a numerical discipline (e.g. Statistics, Mathematics, Physics or Engineering)

  • Experience in developing, documenting & maintaining numerical models for purposes of loss forecasting or calculating capital requirements

  • Demonstrates attention to detail

  • Proven ability to communicate complex technical concepts clearly


  • Technical skills: Statistics, Probability Theory, Econometrics

  • IT skills: Prior experience of using statistical modeling tolls (e.g. SAS, R) and development experience in either C++ or Python

  • Documentation: Ability to clearly document quantitative models and evidence technical modeling choices

  • Data analysis and interpretation. Experience of interpreting and manipulating large financial data sets

Nice to have

  • Practical experience of quantitative model documentation using of LaTex or similar mathematical typesetting packages

  • Working knowledge of credit products including loans, bonds and credit derivatives

Posting Date : 02/20/2018

Location :

Chicago, IL, 135 S LA SALLE ST (IL4135),


  • United States

Travel : Yes, 15% of the time

Full / Part-time : Full time

Hours Per Week : 40

Shift : 1st shift

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