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Quantitative Finance Analyst, Model Developer

4 months ago

Jersey City, New Jersey, United States Bank of America Full time

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