Transunion Jobs in Usa

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. Be a part of our team you will collaborate with great people, pioneering products, and cutting-edge technology.

The Financial Services Consulting team at TransUnion is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best-in-class \"big data\" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion's clients. This position requires an understanding of US consumer lending and credit risk management practices.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for customers in the US financial services segment at TransUnion. This includes but is not limited to the development of predictive risk management and business intelligence solutions for Fintechs, credit card issuers, collections agencies, and retail banks.
• You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, gradient boosted trees, survival analysis, principal component analysis, scenario and sensitivity analysis).
• You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and SQL.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
• You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
• You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.

Adherence to company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting .

The U.S. base salary range for this position is $67,500.00 - $112,500 annually. The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents.

• Develop and execute enterprise-wide fraud prevention and detection strategies across products and channels.
• Evaluate and implement best-in-class fraud prevention technologies and data sources.
• Create and maintain a multi-year roadmap for fraud strategy, technology enhancement, and data integration.
• Analyze internal and external fraud data to identify trends, emerging risks, and actionable insights.
• Serve as a subject matter expert for fraud strategy, tools, data, and risk analytics.
• Build and monitor key fraud performance metrics and dashboards to measure effectiveness and identify opportunities.
• Lead initiatives related to identity verification, device intelligence, and KYC improvements.
• Design and maintain advanced analytical tools and algorithms to detect and mitigate fraud.
• Continuously tune and optimize existing fraud rules, scorecards, and workflows to enhance detection accuracy.
• Partner with IT, Product, and Operations to enhance system integration, rules deployment, and automation capabilities.
• Prepare and deliver high-quality reporting and recommendations to senior management and other stakeholders.
• Stay abreast of evolving fraud tactics, technologies, and regulatory expectations to ensure best-in-class defenses.
• Provide thought leadership and mentor junior analysts to build organizational fraud analytics capability.

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative discipline. Master’s degree preferred.
• Minimum of 4+ years of experience in financial services with a focus on fraud risk management, analytics, or strategy.
• Proven experience with fraud tools and third-party data providers (e.g., TransUnion, Clarity, iOvation, LexisNexis, NeuroID, etc.).
• Strong hands-on skills in data analysis using SAS, SQL, Python, or similar tools.
• Deep understanding of fraud typologies, identity verification, and application fraud mitigation across digital and traditional channels.
• Demonstrated ability to translate data-driven insights into actionable business strategies.
• Strong cross-functional collaboration and communication skills with both technical and non-technical stakeholders.
• Ability to manage multiple initiatives simultaneously and influence at all organizational levels.