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Jersey City

    Quantitative Finance Analyst, Model Developer - Jersey City, United States - Bank of America

    Bank of America
    Bank of America Jersey City, United States

    3 days ago

    Bank of America background
    Full time
    Description

    Job Description:

    As a Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:
    • Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
    • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
    • Understanding and executing activities that form the end-to-end model development and use life cycle
    • Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology
    Position Overview
    • 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.
    • Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products..
    • This role will support the AML Event Processor and respective team. The Event Processor is a consolidation engine that aggregates events from all detection channels and calculates aggregated risk scores for event groups based on individual risk factor scores.
    Required Skills:
    • Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
    • 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD
    • Strong Programming skills e.g. R, Python, SAS, SQL or other languages
    • Strong analytical and problem-solving skills

    Desired Skills:
    • Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
    • Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
    • Experience with large data sets
    • Effective at prioritization/time and project management
    • Broad understanding of financial products

    Shift:

    1st shift (United States of America)

    Hours Per Week:

    40
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