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!

Protecting the health and wellness of our associates and candidates considering a career at TransUnion is our highest priority. In supporting this vision, our recruitment and new hire experience for this role is fully virtual for the time being. Candidates interviewing will get to know our team over the phone and video, and this role will operate virtually upon hire until we return to the office. Even though we’re not physically together right now, our goal is to provide you a supportive candidate and new hire experience that will immerse you in our culture and set you up for success at TransUnion.

What You'll Bring

Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent experience in related roles

Minimum 2-4 years’ experience using SQL, Hive or other data query and scripting languages

Demonstrated expertise in designing and developing dashboards in Tableau or other similar visualization tools

Excellent knowledge of statistics and basic machine learning concepts

Good understanding of data warehousing concepts and technologies

Proven strong relationship-building and communication skills with team members, business users and cross-functional stakeholder

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

Strong communication skills and willingness to take initiative and contribute to business goals and objectives

What We'd Love to See:

Masters in Data Science, Analytics, MIS or other closely related discipline.

Understanding of Splunk or any other similar data streaming and processing tools.

Experience with latest cloud technologies like AWS and Azure

Impact You'll Make

Work in a fast paced, challenging environment for one of the leading information and technology companies to prevent, detect and investigate fraud and ensure adherence to policies and procedures. The position will be the leader in executing a strategy to identify and disrupt bad actors throughout TransUnion’s ecosystem.

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. Team members are strong problem solvers and project managers. We encourage professional development and recognize good work. You will be able to make key impacts by the following:

Lead the global technical development, deployment, and maintenance of the Corporate Investigations Department Fraud & Anomaly Detection Program, using the latest data visualization tools such as Tableau, Splunk, etc.

With limited direction, work with cross-functional teams including Compliance, Legal, Data Science, Global Technology, Information Security, and Operations to maintain, enhance, and expand anomaly tools that will help detect data misuse and/or fraud

Utilize statistical and machine learning concepts to design and develop proactive fraud detection models

Identify critical metrics and furnish custom KPIs/KRIs to measure performance, impact and predictability

Conduct statistical analysis of ambiguous and/or missing data, recommend appropriate rules and logic to ensure the monitoring tools and alerts are operating properly and effectively.

Create thoughtful, thorough presentations that explain the value of the program to senior management

Participate in projects involving the identification, collection, and analysis of computer systems and electronic data sources relevant to investigative initiatives