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.
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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. Join us!
This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.
Enterprise Model Risk Management seeks a Sr Quantitative Fin Analyst – Anti-Money Laundering (AML) to conduct independent testing and review of complex models used to monitor and mitigate money laundering risk. The candidate should exhibit familiarity with industry practices and have knowledge of up-to-date AML techniques. The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning methods to manage the bank’s AML models and model systems.
The position will be responsible for:Minimum Education Requirement: PhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Economics, Engineering, Computer Science, Statistics.
Required Qualifications:
Knowledge and 4+ years of experience in building and understanding of Anti-Money Laundering models and systems.
Strong familiarity with industry practices in the field and knowledge of up-to-date Anti-Money Laundering techniques
CAMS certification (preferred)
Fluency in Python, SAS and SQL
Excellent written and oral communication skills with stakeholders of varying analytic skills and knowledge levels.
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:
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