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.
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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
- Perform quantitative development and implementation of statistical models, machine learning algorithms, and analytical libraries and tools.
- Work closely with modelers and other business partners to design and implement models under tight deadlines.
- Interface with technology teams to integrate models into production environment.
- Implement solutions applying both qualitative and quantitative methods.
- Develop and deliver modeling solutions and analytical tools to address regulatory requirements.
- Provide quantitative expertise for a broad range of modeling areas across the Enterprise.
- Utilize advanced quantitative tools of R, Python, and VBA to develop and validate statistical models.
- Implement solutions by applying both qualitative and quantitative methods of Monte Carlo simulation, error handling, and quantitative analysis.
- Perform software development of high-performance, scalable, and reusable code utilizing Python, SQL, and R.
- Utilize advanced quantitative techniques of statistical analysis, predictive modeling, and linear regressions to analyze and evaluate complex economic and financial datasets.
- Remote work may be permitted within a commutable distance from the worksite.
Required Skills & Experience
- Master's degree or equivalent in Statistics, Mathematics, Computer Science, Information Systems, 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 advanced quantitative tools of R, Python, and VBA to develop and validate statistical models;
- Implementing solutions by applying both qualitative and quantitative methods of Monte Carlo simulation, error handling, and quantitative analysis;
- Performing software development of high-performance, scalable, and reusable code utilizing Python, SQL, and R; and,
- Utilizing advanced quantitative techniques of statistical analysis, predictive modeling, and linear regressions to analyze and evaluate complex economic and financial datasets.
- The employer will accept pre or post Master's degree experience.
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
Pay Transparency details
US - NJ - Jersey City - 525 Washington Blvd (NJ2525)
Pay and benefits information
Pay range
$145,000.00 - $155,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.