Quantitative Finance Analyst - Chicago, United States - Bank of America

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    locations

    Chicago

    time type

    Full time

    posted on

    Posted 4 Days Ago

    job requisition id


    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.

    Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

    One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world.

    We're devoted to being a diverse and inclusive workplace for everyone.

    We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

    Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

    Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.

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    Job Description

    Overview of Global Risk Analytics - Bank of America Merrill Lynch has an opportunity for a Quantitative Finance 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.


    The Market Risk Quants (MRQ) team within Global Risk Analytics (GRA) organization is responsible for the development and enhancement of market risk models and analytical tools.

    The team's remit spans market risk models for internal risk management, market risk capital requirements for Internal Model Approach (IMA) approved Legal Entities within Basel 2.5 regulatory framework, and IMA and Standardized Approach (SA) for upcoming FRTB regulatory framework, stress testing such as CCAR, EST, ICAAP, Recovery and Resolution Planning, and Climate Risk.

    As a quantitative model developer in MRQ team, you will be responsible for:
    Develop and enhance quantitative risk models, analytics and applications in support of market risk assessment and regulatory capital calculation in current Basel 2.5 (e.g. VaR, Stressed VaR, Risks Not in VaR) and/or upcoming FRTB (e.g. Standard Approach, Expected Shortfall, Non-modellable risk factor, Risks Not in Model) regulatory framework

    Develop and enhance quantitative risk models, analytics and applications for the firm's Stress Testing including CCAR


    Develop model performance monitoring metrics such as benchmarking, backtesting as part of continuous efforts to identify and remediate potential model weakness.


    Closely work with Global Markets Risk (GMR) and Front-Line Units (FLU) trading desks for internal risk management, Enterprise Capital Management (ECM) for market risk capital requirements, technology partners for model implementation, front-office pricing model quant developers, and Model Risk Management (MRM) for model risk oversight.

    Perform quantitative analysis in preparation of exams, regular dialogues with supervisory regulators across the globe.


    Required Qualifications:
    Advanced degree in quantitative fields such as Mathematics, Financial

    Mathematics/Engineering,

    Quantitative Finance, Statistics, Econometrics, Physics, computer science, or equivalent and 2+ years of industry experience.

    Programming skills, preferably in Python, or equivalent object-oriented programming

    Experience in or willingness to learn derivatives pricing and/or statistical analysis of financial data, time series information.


    Desired Qualifications:


    Experience in market risk models such as FRTB Standard Approach (SA), FRTB Internal Model Approach (IMA), Value at Risk (VaR), Risks Not in VaR (RNiV), and Stress Testing.

    Attention to details and ability to analyze problems independently with intellectual curiosity.

    Strong written and verbal communications.

    Ability to deliver quality outcomes in a timely manner in a fast-paced environment.


    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

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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.

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