Description
Analytica is seeking a Data Modeler to design, test, and evaluate advanced models that support fraud detection and identity theft prevention strategies. This role will develop models to replicate filing scenarios, assess the performance of detection tools, and recommend enhancements that improve accuracy and efficiency. The specialist will also play an important role in supporting pilot deployments and coordinating modeling documentation across applications.
Our company has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Key Responsibilities
- Develop models to test identify theft and fraud detection tools.
- Support scenario testing and refining algorithms for accuracy and efficiency
- Document modeling assumptions, parameters, and results.
- Document methodologies and maintain technical repositories.
- Support pilot deployments and evaluations
- Assist senior specialists and analysts in network and segmentation projects.
- Coordinate data models, data dictionaries, and other database documentation across multiple applications.
Requirements
Minimum Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
- Minimum of 3 years in models, simulation, or statistical analysis roles.
- Experience using Python, SQL, SAS, and/or R for model implementation.
- Familiarity with fraud modeling, clustering algorithms, and IRS-related data is highly
- preferred.
- Must have active or ability to obtain IRS MBI clearance.
- Must be a US Citizen
