Bank Of America Quantitative Finance Analyst Model Developer - Global Financial Crimes 

United States, North Carolina, Charlotte 

120565654

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

1st shift (United States of America)