Rapid Response Analyst (QRT) – Data Analyst III 2026P-0113
Ascension LLC is seeking a highly analytical and mission-driven Rapid Response Analyst (QRT) to support government-led fraud analytics operations within a dynamic, high-visibility environment. This role is critical to identifying, analyzing, and responding to emerging fraud schemes in near real-time, ensuring timely mitigation of risks to taxpayer systems and financial integrity.
The ideal candidate is a detail-oriented and proactive problem solver who thrives in fast-paced, ambiguous environments. This individual brings strong analytical judgment, the ability to synthesize incomplete data, and the discipline to deliver actionable insights under tight timelines. The analyst will support rapid investigative analytics, evaluate anomalies in filing patterns, and contribute to the development and refinement of fraud detection strategies.
This role requires a professional who can anticipate emerging threats, construct analytical approaches quickly, and collaborate across cross-functional teams to support operational decision-making. The candidate should be comfortable working with large datasets, applying statistical and rule-based analysis, and leveraging tools such as SQL, Python, and data visualization platforms to support rapid response efforts.
Key Responsibilities / Day-to-Day Activities
- Analyze emerging fraud patterns, anomalies, and suspicious behaviors across filing and non-filing periods
- Conduct rapid-turnaround investigative analytics to support urgent fraud detection and mitigation efforts
- Evaluate model outputs, filters, and business rules to identify gaps, false positives, and emerging vulnerabilities
- Develop ad hoc queries, scripts, and analytical approaches to assess new fraud schemes
- Collaborate with data scientists and SMEs to refine detection strategies and improve model performance
- Monitor operational metrics, inventory levels, and fraud indicators to support real-time decision-making
- Synthesize analytical findings into clear, actionable insights for government stakeholders
- Support testing and validation of new rules, models, and treatments in non-production and production environments
- Document analytical methodologies, findings, and recommendations for auditability and knowledge sharing
- Coordinate with cross-functional teams to ensure alignment across fraud programs and response activities
How to Apply
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| Job Category | Data Analysis and Analytics |
| MINIMUM QUALIFICATIONS | Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related analytical field |
| REQUIRED SKILLS | 5 to 7 years of experience in data analysis, fraud analytics, or investigative analytics | Strong proficiency in SQL for querying and manipulating large datasets | Strong analytical thinking and problem-solving skills | Ability to work independently with minimal supervision in fast-paced environments |
| TECHNICAL SKILLS | Experience with Python or R for data analysis and rapid prototyping|Experience working with structured and unstructured data in enterprise environments | Demonstrated ability to perform exploratory data analysis and anomaly detection | Familiarity with fraud detection techniques, risk scoring, and rule-based systems | Experience with data visualization tools such as Tableau, Power BI, or similar |
| DESIRED QUALIFICATIONS | Experience supporting IRS, Treasury, or other federal financial or fraud programs. Familiarity with identity theft, refund fraud, and financial crime schemes. Experience with machine learning model interpretation and performance monitoring. Knowledge of big data platforms such as Hadoop or Spark. Experience with Agile or rapid delivery environments. Professional certifications such as Certified Fraud Examiner (CFE), CAP, or equivalent. Strong communication skills with the ability to translate technical findings into business insights. |
| SUITABILITY REQUIREMENTS | Ability to obtain and maintain a Public Trust (Moderate or High Risk) clearance | U.S. Citizenship required |