Job Description

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What We'll Bring:

The role offers a collaborative, innovation-driven environment with flexible work options, strong support for professional growth, and access to advanced big data and cloud technologies, alongside a highly skilled analytics team. It requires a strong quantitative background, solid analytical and programming skills (R/Python, SQL, Excel), and the ability to communicate and manage multiple projects in a fast-paced setting, with some travel expected. Preferred candidates have experience in financial services analytics, credit data, visualization tools, and big data frameworks. In this role, you will develop and deliver credit risk and business intelligence solutions, perform advanced analytics across the lending lifecycle, work with cross-functional global teams, present insights to stakeholders, and help clients adopt analytics-driven strategies while contributing to a high-performance culture.

What You'll Bring:

What We’ll Bring:

A collaborative and innovative work environment where new technologies and tools are continuously explored to stay agile.

Flexible time off, workplace flexibility, and support for continued professional growth through tuition reimbursement, conferences, and seminars.

A culture that encourages you to sharpen existing skills and build new capabilities while discovering your unique strengths.

A modern computing environment leveraging best-in-class big data and cloud technologies, with the freedom to explore new data sources and advanced statistical and machine learning methodologies.

A team of brilliant minds who not only understand your stats jokes—they’ll appreciate them.

What You’ll Bring:

Bachelor’s degree in Statistics, Applied Mathematics, Financial Mathematics, Engineering, Operations Research, Computer Science, or another highly quantitative field.

Strong analytical, critical thinking, and creative problem-solving skills.

Proficiency in Excel (including formulas, pivot tables, and macros), and programming experience in R and/or Python.

Familiarity with data manipulation and querying tools such as SQL, Hive, or Spark.

Ability to communicate effectively across multiple levels of the organization and work collaboratively in a fast-paced environment.

Strong organizational and project management skills with the ability to handle multiple assignments.

Willingness to travel up to 10–20% as needed.

What We’d Prefer to See:

Internship or academic project experience involving data analysis, preferably in Financial Services or related industries.

Exposure to credit bureau data or consumer lending practices.

Experience with data visualization tools such as Tableau or Power BI.

Familiarity with big data frameworks (e.g., Hadoop, Spark) and cloud platforms.

Experience working in a global or matrixed organization.

The Impact You’ll Make:

Support the development of credit risk management and business intelligence solutions through consulting engagements and research.

Collaborate with cross-functional teams to deliver predictive risk and business intelligence solutions for global B2B clients, including credit card issuers, auto & mortgage lenders, and retail banks.

Conduct descriptive and prescriptive analytics across the consumer lending lifecycle using segmentation, scenario analysis, and sensitivity analysis.

Design and implement programs for data extraction, segmentation, and statistical analysis using R, Python, SQL, Hive, and Spark.

Present analytic insights and recommendations in clear, compelling formats for internal and external stakeholders.

Identify opportunities for clients to adopt TransUnion’s analytic products and services.

Contribute to a high-performance culture that reflects the TransUnion brand.

What we’ll bring:

• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.

• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.

• Our culture encourages our people to hone current skills and build new capabilities while discovering their genius.

• We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.

• Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.

What you’ll bring:

• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.

• Strong analytical, critical thinking, and creative problem-solving skills

• Strong programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, );

• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment

• Strong project management skills with the ability to manage multiple assignments effectively

• Ability to travel 10-20%

What we'd prefer to see:

• 2-6 years of professional experience/ internships performing analytic work in Financial Services or related industries

• Familiarity with credit bureau data and business practices

• Experienced with Tableau or other visualization tools

• Advanced skills using Excel formulas, macros, and pivot tables to provide detailed analytical reports.

• Operates under modest supervision in a complex and dynamic, matrixed environment

• Experienced working in a company with a global presence

• Experience with modern "big data" frameworks (Hadoop, Spark, cloud)

Impact You'll Make:

Impact you’ll make:

This position is responsible for supporting the development of credit risk management and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for TU’s B2B customers globally. This includes but is not limited to developing predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.

• You will contribute in analytic engagements involving descriptive and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging various techniques (e.g., segmentation, 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, SQL, Hive, and Spark on server and cloud based computing platforms.

• 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.

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 Job Title

Sr Analyst, Data Science and Analytics