Bank of America - Boston, MA
posted 2 months ago
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. This job is responsible for performing more complex analyses to identify fraud networks using graph analytics. This role is focused on minimizing loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies. Fraud is an ever-changing landscape, where determined adversaries constantly attempt to gain access to customer accounts. We are looking for an energetic, inquisitive, and talented data scientist to join our team to help stop financial crime. In this role, you will be expected to work with our lead data scientist and the team executive as well as our 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 link analysis/graph analytics to find and mitigate deeply connected fraud networks and detect new accounts being added to these networks, as well as the presentation of work to all levels of the organization including senior leadership.