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Quantitative Finance Analyst, Model Developer - Global Financial Crimes

Company: Hispanic Technology Executive Council
Location: Jersey City
Posted on: April 3, 2024

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, technologyPosition 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 skillsDesired 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 productsShift:1st shift (United States of America)Hours Per Week: 40

Keywords: Hispanic Technology Executive Council, Jersey City , Quantitative Finance Analyst, Model Developer - Global Financial Crimes, Accounting, Auditing , Jersey City, New Jersey

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