Quantitative Finance Analyst

Job Description:

Bank of America is looking for a risk quantitative professional to join the Financial Crimes Analytics (FCA) team within Global Risk Analytics. FCA is responsible for developing complex models and performing analysis to improve financial crimes detection and monitoring.

Responsibilities include:

• Independently conducting quantitative analytics, and design and execute complex modeling projects.
• Lead efforts in development or enhancement of models, analytic processes or system approaches.
• Clearly document all activities and work with technology staff in design of any system to run models developed.
• Have strong quantitative/analytic skills, influence strategic direction, and develop tactical plans.
• Have sufficient background to identify risks proactively and frame the range of potential outcomes for risks that are hard to model.
• Integrate seamlessly in a global organization of analytical associates dedicated to best in class modeling and analysis in support of world class risk management capabilities and culture.

Required Skills:

• Master’s degree in a quantitative field with 2+ years of quantitative modeling experience or PhD in a quantitative field
• Model development experience in a financial institution
• Knowledge of banking products and services
• Experiences with a statistical analysis packages such as SAS or R
• Experiences with SQL and Excel for data analysis and presentation
• Ability to interact with model validation and implementation teams
• Strong communication and interpersonal skills
• Willingness to work under pressure to meet deadlines
• Ability to multitask and properly prioritize multiple projects

Desired Skills:

• Experience with AML scenarios, typologies, and processes
• Data Management Skills, including experience with large unstructured data sets
• Experience with machine learning and artificial intelligence
• Proficiency SAS, R, and/or Python
• Process Development Experience

Shift:

1st shift (United States of America)

Hours Per Week:

40