Job Description:
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.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
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!
Responsibilities :
Employ statistical modeling and machine learning techniques in Financial Crimes models to identify suspicious activities from transactional data.
Validate Financial Crimes models by evaluating and challenging conceptual soundness including underlying assumptions, theoretical foundations, statistical and mathematical methods along with the relevant empirical evidence, data quality, software implementation and fit for use to meet compliance requirements, internal policies, requirements from the Bank Secrecy Act and related regulatory expectations globally.
Develop tests to assess the limitations of the proposed models using quantitative and statistical techniques including time series analysis, data analysis, regression, optimization, and machine learning.
Produce high quality technical documentation for all model risk management activities.
Interact with Model Developers, Model Owners, and Global Control Functions to prioritize and complete validation activities.
Utilize R, SAS, and Python to perform quantitative modeling or independently validate models.
Utilize quantitative modeling techniques including linear regression, logistic regression, generalized linear regression, time series models and machine learning / artificial intelligence methods including ensemble learning.
Utilize SQL for data extraction, manipulation, and analysis from relational databases.
Assess risk arising from the use of quantitative models by applying knowledge of relevant regulatory expectations and requirements including OCC 2011-12 / FRB SR 11-7.
Required Skills & Experience:
Master's degree or equivalent in Finance, Mathematics, Statistics, Financial and Risk Management or related; and
2 years of experience in the job offered or a related quantitative occupation.
Must include 2 years of experience in each of the following:
Utilizing R, SAS, and Python to perform quantitative modeling or independently validate models;
Utilizing quantitative modeling techniques including linear regression, logistic regression, generalized linear regression, time series models and machine learning / artificial intelligence methods including ensemble learning;
Utilizing SQL for data extraction, manipulation, and analysis from relational databases; and,
Assessing risk arising from the use of quantitative models by applying knowledge of relevant regulatory expectations and requirements including OCC 2011-12 / FRB SR 11-7.
If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com and reference the job title of the role and requisition number.
Employer : Bank of America N.A.
Shift:
1st shift (United States of America)
**Hours Per Week: **
40