Senior Vice President / Client Quantitative Senior Analyst
Bank of America
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!
Apply unsupervised learning methods to segment client behavior and/or augment existing supervised models.
Develop machine learning models, using tools including Python, Spark, H2O, SAS and Tensorflow/Pytorch.
Create custom machine learning algorithms no available in public ML libraires.
Link Analysis/Graph analytics to find and mitigate deeply-connected client networks and detect new relationships/accounts being added to these networks.
Leverage Statistical Modeling/Machine Learning/Deep Learning techniques to solve business questions.
Develop object orientated programs using a variety of programming languages such as C#, Python.
Execute complex analytic process via Linux command line which are optimized across distributed analytic architecture.
Apply Statistical Modeling / Machine Learning / Deep Learning techniques to develop an understanding of client relationship.
Extract data using a variety of programming languages such as SQL and Python or other programming language for relational and non-relational database systems.
Analyze and assess large and complex datasets with programming tools such as Linux, Python and SQL.
Analyze large transactional datasets using a scripting language and distributed analytic architecture.
Required Skills & Experience:
Doctorate degree or equivalent in Applied Economics, Financial Mathematics, Statistics 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:
Applying Statistical Modeling / Machine Learning / Deep Learning techniques to develop an understanding of client relationship;
Extracting data using a variety of programming languages such as SQL and Python or other programming language for relational and non-relational database systems;
Analyzing and assessing large and complex datasets with programming tools such as Linux, Python and SQL; and,
Analyzing large transactional datasets using a scripting language and distributed analytic architecture.
In the alternative, the employer will accept a Master’s degree and 5 years of experience.
Employer: Bank of America N.A.
Shift:1st shift (United States of America)
Hours Per Week:40