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What We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology.The Corporate Investigations Department ("CID") conducts investigations into instances of fraud, malfeasance, and account misuse, interacting with internal and external stakeholders across the enterprise. CID develops and implements industry-leading techniques in fraud prevention, detection and investigation.What You'll Bring:- Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent experience in related roles
- Minimum 2 years experience working with relational databases using SQL, Hive, Dremio, Python/R or other data query, scripting languages and visualization tools like Tableau
- Knowledge of statistical analysis, regression modelling and forecasting, data mining, financial analysis, and demand modelling, using statistical software
- Experience in large-scale datasets, analyzing data to solve business problems, and presenting impactful insights
- Requires a complete understanding of the business intelligence development life cycle including the ability to lead collaboration discussions to gather the needs for desired outcomes for the BI solutions being built
- Familiarity with latest cloud technologies and solutions
- Experience in fraud solutions
- Master's degree in Big Data Analytics, Data Analytics, Statistics, or similar field preferred
- Team up with Data Engineer in the innovation efforts of global technical development, deployment, and maintenance of the Fraud Detection & Monitoring Program using applicable data programming languages and visualization tools
- Collaborate with business and process owners to assess business risks, analyze data and propose hypotheses for new fraud detection and monitoring rules
- Perform exploratory data analysis to identify patterns and behaviors indicative of potential fraud, abuse/misuse or violations, conducted by internal associates and external customers
- Design and develop dashboards that alert on pre-defined rules and logic
- Implement temporary workarounds for any breakdowns in processes
- Work closely with the Global Technology and Data Architecture teams and provide technical design recommendations on the data mart structures that support analytical applications
- Create technical documentation and FAQs for operational instruction as well as presentations and project plans that will be shared with various audiences
- Understand TransUnion's products/services and partner with process owners to ensure technical requirements are prioritized, developed and delivered to meet specifications that will target fraud and misuse activities
Vacancy expired!