Consumer Product Strategic Analyst III - Network Fraud Strategies

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. Were 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:

This job is responsible for performing more complex analysis to identify fraud networks using graph analytics. This role is focused minimize 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 data bases 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 (but are not limited to):

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

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

Responsibilities:

• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs

• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance

• Leads coordination of the production of product performance reports and updates for senior management

This position is not eligible for sponsorship.

Required Qualifications:

• 4 years of experience in big data and analytics with experience analyzing >10 millions records

• Must be proficient with SQL and one of SAS, Python or Java including ability to independently write and debug automation processes in Pyspark

• Critical problem-solving skills including selection of statistical analysis (hypothesis testing) 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 working as part of a broader team

• Excellent communication and influencing skills

• Thrives in fast-paced and highly dynamic environment, be comfortable working without clear directions

• Comfortable with learning new technology, coding languages

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

Desired Qualifications:

• Advanced Quantitative degree (Masters or PhD)

• Tangible track records of implement process automation and improvement using Python/ Java

• Strong background in statistical learning / time series/or anomaly detection

• 4+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cyber security or other heavily quantitative areas

• Proficient with H2O or similar advanced analytical tool

• Strong knowledge of graph databases such as Neo4j or Tigergraph

Skills:

• Big data analytics

• Process automation

• Data engineering

• Business Analytics

• Business Intelligence

• Data Quality Management

• Fraud Management

• Monitoring, Surveillance, and Testing

• Collaboration

• Data Visualization

• Oral Communications

• Problem Solving

• Written Communications

• Analytical Thinking

• Critical Thinking

• Data and Trend Analysis

• Innovative Thinking

• Research

Shift:

Hours Per Week:

Pay Transparency details