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Assistant Vice President; Quantitative Finance

3 months ago

Jersey City, United States Bank of America Full time

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**:

- Conduct quantitative analytics and modelling projects.
- Execute complex, multifaceted processes ensuring effective controls are applied, with accurate documentation of process steps, inputs and outputs, identifying gaps and improving workflow.
- Investigate and explain model forecasts as part of scenario generation production processes.
- Communicate quantitative approaches and results as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, audit and technology teams.
- Analyze and evaluate large and complex economic and financial datasets with analytical tools such as Python, SQL and R.
- Create data mining, data processing and data analytical and visualization tools using Python to gain business insight from the data.
- Employ advanced data science programming such as R, Python and machine learning packages such as Pandas, Scikit Learn to wrangle model data into structured format, aiding and supporting broader analysis and reporting.
- Incorporate advanced quantitative techniques and tools, such as, statistical analysis, predictive modeling, timeseries and structural regressions to develop forecasting models.
- Utilize Python to write quantitative model development, testing code, and technical documentation.
- Remote work may be permitted within a commutable distance from the worksite.

**REQUIREMENTS**:

- Master's degree or equivalent in Statistics, Mathematics, Operations Research, Information Engineering, 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:

- Analyzing and evaluating large and complex economic and financial datasets with analytical tools such as Python, SQL and R;
- Creating data mining, data processing and data analytical and visualization tools using Python to gain business insight from the data;
- Employing advanced data science programming such as R, Python and machine learning packages such as Pandas, Scikit Learn to wrangle model data into structured format, aiding and supporting broader analysis and reporting;
- Incorporating advanced quantitative techniques and tools, such as, statistical analysis, predictive modeling, time-series and structural regressions to develop forecasting models; and,
- Utilizing Python to write quantitative model development, testing code, and technical documentation.

**EMPLOYER**: Bank of America N.A.

**Shift**:
1st shift (United States of America)

**Hours Per Week**:
40