Offer summary

Qualifications:

Master's degree in Statistics, Economics, Engineering, Applied Mathematics, or related field., At least 2 years of experience in quantitative modeling, including regression techniques and machine learning., Proficiency in writing efficient computer code with clear formatting and documentation., Experience building datasets from complex data warehouses using Python programming..

Key responsibilities:

Understand and execute statistical modeling requirements according to a specified plan.

Communicate findings clearly with managers and peers.

Examine, clean, and analyze large data sets; build multivariate statistical models.

Utilize modern modeling methods and write modular Python code for data analysis.

Job description

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

RESPONSIBILITIES:

Understand statistical modeling requirements expressed in a technical language and execute per a specified plan to a specified timeline.
Present and communicate facts clearly and accurately with manager and peers.
Efficiently examine and clean large data sets, build basic multivariate statistical models, format code clearly, and produce correct documentation.
Correctly know statistical assumptions and make logical inferences.
Utilize modern modeling methods including regression techniques and machine learning.
Write efficient computer code using white space, comments, indentation, arrays, control blocks, and modularization.
Build datasets from complex data warehouses using Python programming.
Independently derive the correct lessons from raw data and balance well the competing needs of the model development lifecycle using Python.
Remote work may be permitted within a commutable distance from the worksite.

REQUIRED SKILLS & EXPERIENCE:

Master's degree or equivalent in Statistics, Economics, Engineering (any), Applied Mathematics, 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 modern modeling methods including regression techniques and machine learning;
Writing efficient computer code using white space, comments, indentation, arrays, control blocks, and modularization;
Building datasets from complex data warehouses using Python programming; and,
Independently deriving the correct lessons from raw data and balancing well the competing needs of the model development lifecycle using Python.

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:

Required profile