Jobs at TransUnion

Positions 89,661

TransUnion is a global credit reporting powerhouse that turns vast consumer and business data into actionable insights. With a presence in over 20 countries and data on more than 1 billion consumers, the company leverages machine learning and analytics to support credit decisions, fraud prevention, and risk management for banks, insurers, and fintechs.

TransUnion’s tech hiring spans data science, machine‑learning engineering, full‑stack and backend software development, cloud architecture, cybersecurity, product management, and quality assurance. Candidates typically encounter a collaborative environment that rewards curiosity, encourages continuous learning, and offers clear career ladders—often paired with remote‑friendly policies and generous professional development budgets.

Checking TransUnion listings on Job Transparency gives you a decisive edge: you can see real, up‑to‑date salary ranges, employee sentiment scores, and compare compensation against industry benchmarks—all before you even apply.

Incident Coordinator-Remote

Company: TransUnion

Location: Santa Ana, Costa Rica

Posted Jan 23, 2025

TransUnion's Job Applicant Privacy Notice details the role of an Incident Coordinator (IC) at CyberScout, a TransUnion company. The IC will manage case loads, client and customer expectations, and complex problems. They will provide professional customer service, communicate clearly, and maintain current knowledge of data breach regulations. The role requires project management experience, proficiency in MS Office, strong communication skills, and a results-driven approach. The IC will also handle document transfers, manage mailings, and ensure accurate record-keeping. This is a remote position with occasional in-person attendance.

Sr Analyst

Company: TransUnion

Location: Hyderabad, India

Posted Jan 23, 2025

TransUnion is seeking talented Sr Analysts with strong quantitative and analytical skills. The role involves working with senior data scientists on large-scale customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. The ideal candidate will help clients understand their customers, diagnose business needs, and implement unified analytics solutions. They will also work on multi-touch attribution models and marketing mix models, and ensure rigorous quality control. This hybrid position requires effective cross-functional communication, project management skills, and adaptability in a fast-paced environment.

Consultant

Company: TransUnion

Location: Pasay, Philippines

Posted Jan 23, 2025

Analyst Sales Enablement

Company: TransUnion

Location: Bogota, Colombia

Posted Jan 23, 2025

TransUnion is seeking an Analyst, Sales Support with a Bachelor's degree in Industrial Engineering, Business, or related field. The ideal candidate should have 1-2 years of experience in a financial or services company, with strong business planning, communication, and problem-solving skills. Fluency in English and Spanish is required. The role involves creating and maintaining initiatives in the Grow Us Program in the Latam region, developing senior-level presentations, aligning strategy, and coordinating product & sales engagement teams. The candidate will also support strategic communication processes, regional NPS plans, coaching processes, and project management of enablement & CX initiatives. This is a hybrid position requiring regular virtual and in-person work.

Manager Call Center Operations

Company: TransUnion

Location: Santa Ana, Costa Rica

Posted Jan 23, 2025

Sr. Business Intelligence Analyst

Company: TransUnion

Location: Eddystone, PA

Posted Jan 23, 2025

Senior PMO Analyst - GCCA Remote

Company: TransUnion

Location: Johannesburg, South Africa / Remote

Posted Jan 23, 2025

Sr Analyst- Data Science and Analytics

Company: TransUnion

Location: Pune, India

Posted Jan 23, 2025

TransUnion is seeking a Sr. Analyst, Data Science and Analytics with a quantitative background and at least five years of experience in Financial Services, consumer credit, or a related industry. The role involves developing data-driven solutions, enhancing customer experience, and creating consumer credit models. The successful candidate will work in a collaborative environment, utilizing big data and cloud computing technologies. They will partner with cross-functional teams to drive new business initiatives and deliver value-added product propositions for B2B customers. The position requires strong analytical skills, proficiency in statistical languages like R, and experience with programming languages such as SQL, Hive, Pig, Python, C/C++, and Java.

Frequently Asked Questions

What’s it like to work at TransUnion?
TransUnion fosters a data‑driven culture where employees routinely collaborate across finance, engineering, and product teams to solve real‑world credit challenges. The company emphasizes diversity, equity, and inclusion, offering flexible work arrangements, comprehensive health benefits, and a learning stipend that covers courses, certifications, and conferences. Employees often cite the impact of their work on millions of consumers and the supportive mentorship opportunities as key motivators.
What types of positions are available at TransUnion?
TransUnion hires for a wide spectrum of tech roles, including Data Scientists, Machine Learning Engineers, Software Engineers (frontend, backend, full‑stack), Cloud Architects, DevOps Specialists, Cybersecurity Analysts, Product Managers, Business Analysts, QA Engineers, and Data Engineers. Non‑tech roles such as Business Development, Marketing Analytics, and Customer Success also frequently appear, reflecting the company’s data‑centric ecosystem.
How can I stand out as an applicant?
To differentiate yourself, showcase measurable results in past data projects (e.g., improved model accuracy by X% or reduced data pipeline latency by Y%), and align your resume with TransUnion’s focus on credit analytics and risk. Highlight experience with large‑scale data warehouses (Snowflake, BigQuery), ML frameworks (TensorFlow, PyTorch), and cloud platforms (AWS, Azure). Prepare for technical interviews by practicing algorithm problems, system design scenarios, and domain‑specific questions on fraud detection or credit scoring. Demonstrating a proactive learning mindset—such as contributing to open‑source data tools or publishing relevant research—can also tip the scales in your favor.

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