Senior Analyst, Data Science & Analytics

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Team Overview

As part of TransUnion's UK Credit Risk Data Science & Analytics (DSA) team, you will leverage advanced analytics, statistical modeling, and data science techniques to solve complex credit risk challenges and deliver actionable insights that help lenders make smarter decisions. You will play a key role in developing and enhancing credit risk solutions across the customer lifecycle, including acquisition, underwriting, portfolio management, affordability assessment, and collections strategies.
Working closely with UK-based stakeholders, you will support the development of predictive models, scorecards, segmentation frameworks, and risk strategies that enable clients to optimize portfolio performance while maintaining responsible lending practices and regulatory compliance. You will also contribute to research and innovation initiatives, exploring new data sources, machine learning approaches, and analytical techniques to strengthen TransUnion's market-leading risk capabilities.
The team partners extensively with clients and internal consulting teams on strategic projects, providing analytical expertise through model development, performance monitoring, validation, portfolio diagnostics, and ad hoc risk analysis. As a Senior Analyst, you will be expected to communicate complex findings in a clear and compelling manner, present recommendations to internal and external stakeholders, and deliver high-quality analytical outputs and documentation that meet TransUnion's rigorous standards. 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

• Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions of high complexity for customers within the various industries served by TransUnion.
• Develop such programs into packages/ libraries / workflows which can be shared across the TU DSA organization for the benefit of all.
• Participate in client / product development engagements for DSA involving descriptive, predictive, and prescriptive aspects for a variety of business use cases leveraging multiple data science techniques.
• You will deliver data science driven insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
• This role will be required to fit well within a lively and interactive team and quickly adapt to the analytical tools and development approaches used within the business area.
• Liaise with Project Managers and Senior management to ensure analytics tasks progress to plan
• Support production of model testing and testing implementation of new analytical products, scorecards and models.
• Conduct detailed analysis, including: Scorecard development, affordability product development, portfolio review, monitoring and ad hoc analysis.
• Submit and analyse retrospective bureau data
• Present back results of analysis to internal / external clients
• Produce deliverables / support documentation to required standards

Required Knowledge And Experiences

Skills & Experience:
• Degree, Master's Degree or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A consistent track record of academic excellence.
• Professional experience (at least 1-4 years) performing analytical work in industries served by TransUnion, such as financial services, insurance, and digital marketing
• Expertise in one or more subject-matter areas or technical disciplines that would complement and significantly enhance TransUnion's existing data science capabilities. A consistent record of applying this expertise to achieve positive outcomes, and a drive to share with colleagues and business partners.
• Experience manipulating and analysing complex raw data from multiple sources
• Good programming skills; in-depth knowledge of R or Python; experience with other programming and data manipulation languages (e.g., SQL); proficiency with Linux and Microsoft Office tools.
• Experience of conducting detailed analysis, ideally in a credit risk environment
• Experience of working under own initiative to progress project work and work to deadlines.
• Outstanding analytical, critical thinking, and creative problem-solving skills.
• Thorough and analytical, with capability to identify and apply logic to solve problems.
• Ability to quickly adapt to the analytical tools and development approaches used within TransUnion
• Manage own workload and progress project work with limited support; Ability to multi-task
• Good communication and team working skills; Ability to manage day-to-day written and verbal communication internally and with clients
• Good time management skills (ability to multi-task)
• Attention to detail

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

Sr Analyst, Data Analysis