Senior Fraud Data Analyst (681175)
About the Opportunity
- We are only considering US Citizens and Green Card holders for this position. We are unable to sponsor for this role.
- We are only considering local candidates who currently reside within 45 minutes of postal code 20019
- No Third Party Agencies
- $125 per hour 1099, C2C, $109 per hour W2 + benefits
- Location: 100% On-site, downtown NE DC (Orange Line: Minnesota Ave)
- Job Id: CAI-681175
- Must be able to provide proof of COVID-19 vaccination plus booster shot
- Contract Term: Till end of the 2022 fiscal year with yearly extension based upon performance
Short Description
The District of Columbia’s Department of Employment Services (DOES) is seeking a Senior Fraud Data Analyst to review suspicious transactions generated by fraud detection systems, analyze such transactions and behavior patterns, and make sound judgements and decisions on the alerts in accordance with the operating guidelines and procedures to prevent and minimize fraud losses. The ideal candidate will have 16+ years of performing data analysis and applying SME level data science techniques to identify suspicious behavior trends, outliers, anomalies, and other issues, and 3+ years of extracting data from company databases using SQL and PL/SQL.
Required Skills/Years of Experience
- Bachelor’s degree in IT or related field or equivalent experience
- 16+ years of performing data analysis and applying SME level data science techniques to identify suspicious behavior trends, outliers, anomalies, and other issues
- 16+ years of developing comprehensive fraud detection strategies and business procedures that balance fraud loss and customer experience
- 16+ years of using analytics to improve existing fraud strategies to reduce false positive rates and increase fraud detection rates
- 16+ years of extracting and analyzing data
- 16+ years of investigating data integrity
- 16+ years of creating fraud metrics to show the performance of fraud systems for use in management reporting
- 16+ years of performing data and portfolio analysis
- 16+ years of verbal and written communication skills
- 12+ years of identifying gaps in current systems, policies, products and strategies
- 12+ years of taking actions to reduce new fraud risks with guidance from managers
- 12+ years of developing trending reports and essential indicators to serve as early warning risk indicators for potentially fraudulent activity
- 12+ years of recommending enhancements and process improvements based on assessment of fraud processes
- 10+ years of analyzing massive and highly complex data sets using Beyond Compare and similar programs
- 10+ years of high attention to detail and strong organizational skills
- 8+ years of SQL
- 8+ years of SAS programming including macros and SAS/SAS Enterprise Miner/SAS Enterprise Guide
- 8+ years of analyzing business and technical processes
- 8+ years of researching and evaluating technology solutions and implementation strategies
- 8+ years of excellent presentation skills
- 5+ years of Tableau SSRS reporting
- 5+ years of Looker, Snowflake and Microsoft products
Desired Skills/Years of Experience:
- Certified Fraud Examiner (CFE)
- 3+ years of extracting data from company databases using SQL and PL/SQL
- 3+ years of developing customer reports in Microsoft Excel and Business Objects applications
- 1+ years of PowerBi
- 1+ years of ETL
- 1+ years of SSIS
Complete Description
The District of Columbia’s Department of Employment Services (DOES) is seeking a Senior Fraud Data Analyst to review suspicious transactions generated by fraud detection systems, analyze such transactions and behavior patterns, and make sound judgements and decisions on the alerts in accordance with the operating guidelines and procedures to prevent and minimize fraud losses. The ideal candidate will have 16+ years of performing data analysis and applying SME level data science techniques to identify suspicious behavior trends, outliers, anomalies, and other issues, and 3+ years of extracting data from company databases using SQL and PL/SQL.
The Senior Fraud Data Analyst will be tasked to:
- Review suspicious transactions generated by fraud detection systems
- Analyze suspicious transactions and behavior patterns
- Make sound judgements and decisions on the alerts in accordance with the operating guidelines and procedures to prevent and minimize fraud losses
- Validate/verify transactions in detecting fraud, handling authorization referrals and quick decision-making capabilities while providing outstanding service in the process
- Be the primary point of contact for UI Fraud Risk Operations
- Provide support for the development and documentation of creative fraud prevention strategies
- Optimize the team's ability to detect and prevent fraud on the UI systems
- Work with Risk Policy, Product/Program Managers, Data Analysts, and Engineers to evaluate fraud risk on the UI system
- Oversee system tool enhancements to maintain the productivity and efficiency of risk strategies
- Report to the OIT and UI leadership
- Support all operation leads
- Perform data analysis and apply SME level data science techniques to identify suspicious behavior trends, outliers, anomalies, and other issues that represent fraud risk
- Perform ad-hoc investigative and statistical analytics to facilitate risk investigations and assists external stakeholders in their investigation of risk events
- Perform link analysis of known patterns of fraud and anomalies where known patterns are violated to uncover new fraud patterns
- Prepare and develop daily, weekly, and monthly reports
- Review suspicious transactions generated by fraud detection systems, the analyst must be highly sensitive to abnormal /fraudulent transactions to minimize loss at the earliest stage and be alert to the new emerging fraud trends/patterns
- Detect and define fraud trends through quantitative data analysis and provides direction on solutions to deter fraud attacks and communicates those trends to designated lead
- Apply expertise in designated regional or country fraud detection models to provide the greatest efficiency and effectiveness
- Validate and optimize the fraud risk model
- Ensure fraud detection methods offered comply with industry security regulations and consumer privacy laws as they relate to the agency’s operations
- Oversee user access to fraud prevention systems for designated regional or country fraud prevention
- Monitor operations for PCI and cybersecurity compliance
- Become familiar with industry trends in any fraud prevention related areas, including new fraud patterns, services, detection tools or any new technology
- Provide guidance and direction on system declined suspected fraud transactions, and customer reported fraud tracker data regularly and propose adjustments to the risk model
- Give guidance on new procedures for manual review and fraud analysis based on current trends
- Lead development and implementation of effective fraud avoidance, detection, and prevention strategies to mitigate fraud losses while ensuring an appropriate balance between risk and customer experience
- Lend insight on methods for screening system approved orders against fraud
- Understand dynamics of fraud to be able to detect and reduce Fraud Losses effectively
- Operate in a fast-paced environment
- Work independently and within local teams and operations teams across the country
- Require a strong analytical orientation and an understanding of fraud types and vectors, unemployment insurance products, and familiarity with operational processes that support plans for both existing and new system features
- Understand UI and PFL level risk management principles
Hiring Expectations
- We are only considering US Citizens and Green Card holders for this position. We are unable to sponsor for this role.
- No Third Parties
- Right to Represent authorization is required
- Expect technical interview screening
- Expect F2F interview
- Background check and/or credit check will be required