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!

　　Job Description Summary:

　　Responsible for performing complex analysis aimed at improving portfolio risk, profitability, performance forecasting and operational performance for consumer products and the related divisions such as credit cards. While this position has no direct people management responsibilities, it does require the ability to interact with business partners both within and external to the department. This position requires being the subject matter expert on multiple business-related and technical-related topics and an ability to independently drive strategic improvements. Key functions involve owning asset quality monitoring, identifying business trends based on economic and portfolio conditions, and executing strategic enhancements. Responsible for conducting interviews, training, Card strategy Management / Consumer Product Analysts, and mentoring less enured analysts. Communicates business trends creates financial assessments and interprets risk analytics for senior management. Proven experience at developing technical skills of their team. Detailed knowledge of SAS / SQL, financial statements, and business processes preferred. Sound knowledge of SAS / SQL, financial statements, and business processes preferred. 5+ years Strategic Analysis experience preferred.

　　Job Responsibilities:

　　Fraud Prevention and Detection is looking for an energetic and inquisitive lead data scientist to join our team and help us combat financial crime. In this role, you will be expected to lead large and complex data science projects and collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.

　　Some tasks that this role may be responsible for include (but are not limited to): - Development of Machine Learning models, using tools including h2o, python, and SAS to better decision fraud across the customer lifecycle

　　- Link Analysis/Graph analytics to find and mitigate densely connected fraud networks and detect new accounts being added to these networks

　　- Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies

　　- Partner with technology to execute our data strategy including deployment and use of Hive, PySpark and Spark Streaming, Kafka, Hadoop

　　- Presentation of work to all levels of the organization including senior leadership

　　Required Skills:

　　- A minimum of 4 years of experience in data and analytics is required

　　- Must be proficient with SQL and one of SAS, Python or Java

　　- Critical problem-solving skills including selection of data and deployment of solutions

　　- Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also leading a broader team

　　- Excellent communication and influencing skills

　　- Thrives in fast-paced and highly dynamic environment

　　- Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions

　　Desired Skills:

　　- Advanced Quantitative degree (Masters or PhD)

　　- 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas

　　- Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques

　　- Proficient with H2O or similar advanced analytical tools

　　Shift:

　　1st shift (United States of America)

　　Hours Per Week:

　　40