Consumer Product Strategic Analyst III - Network Fraud Strategies

$79,700 - $118,900/Yr

Bank of America - Plano, TX

Full-time - Mid Level

Plano, TX

Credit Intermediation and Related Activities

About the position

The Consumer Product Strategic Analyst III - Network Fraud Strategies at Bank of America is responsible for performing complex analyses to identify fraud networks using graph analytics. The role aims to minimize loss exposure and enhance customer experience by evaluating data to assess potential fraud risks and creating effective mitigation strategies. The analyst will collaborate with various internal teams to deploy advanced analytical solutions that reduce fraud losses and improve client experience.

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
• Utilizes a variety of systems such as Excel, SAS, SQL, Tableau, and other relational databases to provide analytical support on strategies
• Evaluates data to assess potential fraud risk and create mitigation strategies
• Presents work to all levels of the organization including senior leadership

Requirements

• 4 years of experience in big data and analytics with experience analyzing over 10 million records
• Proficient with SQL and one of SAS, Python or Java, including the 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, comfortable working without clear directions
• Intellectual curiosity and strong urge to figure out the 'whys' of a problem and come up with creative solutions

Nice-to-haves

• Advanced Quantitative degree (Masters or PhD)
• Tangible track records of implementing 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

Benefits

• Industry-leading benefits
• Access to paid time off
• Resources and support for employees to make a genuine impact
• Discretionary incentive eligibility based on performance