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Bank Of America Consumer Product Strategic Analyst III - Network Fraud Strategies United States, Delaware 571971983
Job Description:
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.
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
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