What are the responsibilities and job description for the Fraud Analytics and Innovation Senior Analyst - Fraud Detection Strategies position at Bank of America?
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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for performing more complex analysis and modeling to minimize fraud 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/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.
Responsibilities:
The Client Protection organization is hiring an analyst for our Fraud Prevention team. This analyst will be responsible for the following:
Drive analytics to develop fraud mitigation rules, carefully striking the balance across fraud risk, client impact, operational costs and revenue implications
Proactively managing fraud risk by urgently responding to immediate threats while keeping an eye toward future risks, vulnerabilities, and changes to the fraud landscape
Consistently challenge the status quo to find opportunities to develop and refine our fraud policies and procedures, working closely with the business, operations, and policy partners
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:
SAS/SQL Coding experience
Risk analysis, strategy development, or related experience
Basic understanding of 1st and 3rd party fraud, scams and/or mules
Ability to build and maintain relationships with line of business leaders and multiple stakeholders throughout the organization
Strong written and oral communication skills
Ability to manage multiple projects in a complex and rapidly-changing environment
Ability to work independently as well as part of a team
Excellent time management skills.
Intellectually curious and willing to dive into complete issues\problems and solve
Desired Qualifications:
3 years of risk analysis, strategy development, or related experience
3 years of SQL/SAS Coding experience
2 years of fraud/fraud detection experience and/or 2 years of analytical /financial experience (Payment card /Retail Bank Finance background preferred)
Proven track record of building and deploying Fraud process and control changes
Advanced Excel capability
Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance or operations research
Experience with Python and usage of more advanced analytical, visualization and data extraction tools (H2O, HUE, Pig, Spark, Hive, Tableau) is strongly preferred
Skills:
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:
1st shift (United States of America)Hours Per Week:
40
