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Team Overview
At TransUnion, we're building the next generation of Fraud Prevention, Identity, and Marketing solutions by combining AI, automation, cloud engineering, and large-scale data platforms.Join a high-impact engineering team within our Data & Analytics organization, developing intelligent systems that help businesses detect fraud, improve customer experiences, automate decision-making, and unlock insights from data at scale. 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.
Role Overview And Core Responsibilities
Role Overview and Core Responsibilities
This position is responsible for supporting the development of fraud risk management and business intelligence analytic solutions serving TransUnion’s clients.
You will partner with state-of -the-art Fraud Analytics team to create cutting edge fraud solutions, extensively using graph technology to combat fraud.
You will work on unique data sets with petabytes of volume to analyze and build meaningful model solutions.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
You will foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in SaaS, Consulting or related industries.
Worked with advanced machine learning methods.
Fluent in Python and PySpark
Passionate about LLMs, advanced analytics and data.
Required Knowledge and Experiences
Master’s (2 years) in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in Financial Services or related industries
Using Machine Learning, Deep learning or graph based approaches for modelling fraud risk.
Has experience on any of the Cloud based tools : GCP/AWS/Azure using large datasets in distributed environment
Experience or familiarity with unsupervised modelling techniques
Experienced working in a company with a global presence
Well versed with NLP techniques - from Statistical approaches to Transformers and exposure to LLMs
Required Knowledge And Experiences
Required Technical Skills
- Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least one (1) year of professional experience performing analytic work in SaaS, Consulting or related industries.
- Worked with advanced machine learning methods.
- Fluent in Python and PySpark
- Passionate about LLMs, advanced analytics and data.
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Analyst, Data Science and Analytics
Skills Required
- Bachelor’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
- At least one year of professional analytical experience in SaaS, consulting, financial services, or a related industry
- Experience with advanced machine learning methods
- Fluency in Python and PySpark
- Experience using machine learning, deep learning, or graph-based approaches for fraud risk modeling
- Experience with GCP, AWS, or Azure using large datasets in distributed environments
- Experience or familiarity with unsupervised modeling techniques
- Knowledge of NLP techniques, including statistical approaches, transformers, and LLMs
- Master’s degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
- Experience working in a company with a global presence
What the Team is Saying
TransUnion Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as strong, with multiple plan choices, reasonable deductibles, and access to mental‑health resources like Spring Health.
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Leave & Time Off Breadth — Flexible Time Off for salaried roles, PTO for hourly roles, paid holidays, wellness days, and hybrid flexibility underpin generous time‑away options.
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Parental & Family Support — Parental and caregiver benefits are emphasized, including 12 weeks of paid parental leave with a gradual return, adoption assistance, dependent‑care FSA, and Care@Work backup care from day one.
TransUnion Insights
What We Do
TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.
Why Work With Us
Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.
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TransUnion Teams
TransUnion Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
