Fraud Analytics and Innovation Senior Analyst (New Account Fraud Strategies)
Hobbsnews, Chicago, IL, United States
About the Role
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 databases, 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.
We are seeking a motivated Client Protection Fraud Strategy Analyst to support efforts to protect our deposit products and deliver responsible growth across the client identity and onboarding space. The Deposit New Account Fraud Risk Strategies team focuses on preventing, detecting, and mitigating financial threats against checking and savings accounts while enabling a safe customer experience.
Responsibilities
Perform 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
Utilize a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational databases, to provide analytical support on strategies and ensure goals are met
Evaluate data to assess potential fraud risk and create mitigation strategies
Propose policy/procedural changes within segmentation structures to produce optimal results
Recommend ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Lead the coordination of the production of product performance reports and updates for senior management
In This Role, You Will:
Support monitoring and analysis of deposit application fraud trends and portfolio performance
Conduct deep-dive investigations into patterns, anomalies, and emerging threats
Contribute analytical insights, develop mitigation strategies, and improve detection effectiveness
Assist in developing and maintaining application and transaction monitoring routines
Support cross-functional collaboration by preparing data, insights, and documentation for senior strategists, operations, technology, and product teams
Assist in evaluating internal and external data sources that may enhance detection capabilities, coordinating closely with Fraud Technology partners
Help ensure risk controls and best practices are properly implemented within assigned workstreams
Participate in defect reviews and case analysis to identify strategy or procedural enhancement opportunities
Contribute to fraud requirements documentation, testing support, and performance validation for new initiatives
Monitor KPI dashboards and provide reporting to help assess the effectiveness of fraud strategies
Support strategy optimization efforts by analyzing rule performance, false positives, and customer impact
Identify process improvement opportunities that increase efficiency or analytic rigor
Partner with claims, policy, and product teams to deliver basic analysis and insights that inform decision making
*** This position is not eligible for sponsorship. ***
Required Qualifications
1–3+ years of SQL and/or SAS querying/coding experience
1–3+ years of experience in Fraud Prevention, Strategy, Risk, Policy, or Operations
Experience with Excel, PowerPoint, and/or Tableau
Strong analytical and problem-solving skills
Effective written and verbal communication skills
Ability to work independently on assigned analyses and deliver accurate results
Comfortable working in a fast-paced, dynamic environment
Ability to break down problems and contribute to development of clear action plans
Experience interpreting data and presenting findings to various audiences
Desired Qualifications
BA/BS in Data Science, Computer Science, Statistics, Business, or related field
3–5+ years of SQL or SAS experience
Copilot/ChatGPT experience
Experience supporting fraud strategy, risk analysis, or related analytics
Growing fraud subject matter knowledge in areas such as KYC, Identity Theft, First-Party Fraud, or Synthetic Identity
Experience working with deposit products or digital money movement channels
Familiarity with data visualization and analytics tools
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
Pay Transparency Details
US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100)
Pay range $105,000.00 - $131,100.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the overall success of the Company.
Benefits: This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#J-18808-Ljbffr
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 databases, 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.
We are seeking a motivated Client Protection Fraud Strategy Analyst to support efforts to protect our deposit products and deliver responsible growth across the client identity and onboarding space. The Deposit New Account Fraud Risk Strategies team focuses on preventing, detecting, and mitigating financial threats against checking and savings accounts while enabling a safe customer experience.
Responsibilities
Perform 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
Utilize a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational databases, to provide analytical support on strategies and ensure goals are met
Evaluate data to assess potential fraud risk and create mitigation strategies
Propose policy/procedural changes within segmentation structures to produce optimal results
Recommend ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Lead the coordination of the production of product performance reports and updates for senior management
In This Role, You Will:
Support monitoring and analysis of deposit application fraud trends and portfolio performance
Conduct deep-dive investigations into patterns, anomalies, and emerging threats
Contribute analytical insights, develop mitigation strategies, and improve detection effectiveness
Assist in developing and maintaining application and transaction monitoring routines
Support cross-functional collaboration by preparing data, insights, and documentation for senior strategists, operations, technology, and product teams
Assist in evaluating internal and external data sources that may enhance detection capabilities, coordinating closely with Fraud Technology partners
Help ensure risk controls and best practices are properly implemented within assigned workstreams
Participate in defect reviews and case analysis to identify strategy or procedural enhancement opportunities
Contribute to fraud requirements documentation, testing support, and performance validation for new initiatives
Monitor KPI dashboards and provide reporting to help assess the effectiveness of fraud strategies
Support strategy optimization efforts by analyzing rule performance, false positives, and customer impact
Identify process improvement opportunities that increase efficiency or analytic rigor
Partner with claims, policy, and product teams to deliver basic analysis and insights that inform decision making
*** This position is not eligible for sponsorship. ***
Required Qualifications
1–3+ years of SQL and/or SAS querying/coding experience
1–3+ years of experience in Fraud Prevention, Strategy, Risk, Policy, or Operations
Experience with Excel, PowerPoint, and/or Tableau
Strong analytical and problem-solving skills
Effective written and verbal communication skills
Ability to work independently on assigned analyses and deliver accurate results
Comfortable working in a fast-paced, dynamic environment
Ability to break down problems and contribute to development of clear action plans
Experience interpreting data and presenting findings to various audiences
Desired Qualifications
BA/BS in Data Science, Computer Science, Statistics, Business, or related field
3–5+ years of SQL or SAS experience
Copilot/ChatGPT experience
Experience supporting fraud strategy, risk analysis, or related analytics
Growing fraud subject matter knowledge in areas such as KYC, Identity Theft, First-Party Fraud, or Synthetic Identity
Experience working with deposit products or digital money movement channels
Familiarity with data visualization and analytics tools
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
Pay Transparency Details
US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100)
Pay range $105,000.00 - $131,100.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the overall success of the Company.
Benefits: This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#J-18808-Ljbffr