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This semi–individual contributor role operates within the credit risk model lifecycle domain, combining hands\-on expertise with leadership responsibilities. The position involves leading key projects, providing strategic consulting to clients, and overseeing a small team to ensure high\-quality delivery. The role focuses on driving operational efficiencies, implementing best practices, and enhancing model development, validation, and governance processes. Strong collaboration, problem\-solving, and stakeholder management skills are essential to successfully balance technical execution with team coordination and client engagement.
- *Sr. Consultant, Data Science and Analytics**
- *Job Level:** P04 – Sr. Consultant
- 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.
- Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least five (5\) years of relevant professional experience; or a Bachelor’s degree in a quantitative field with at least eight (8\) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
- Worked on Machine Learning \& Deep Learning based developments.
- Good to have some exposure into GenAI and NLP \- knowledge of LLMs, agentic applications etc.
- Has experience on any of the Cloud based tools: GCP/AWS using large datasets in distributed environment
- End\-to\-End experience in model deployment lifecycle. Exposure to Spark ML \& Pyspark ecosystem
- Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast\-paced environment.
- Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels within a complex and dynamic matrix organization.
- Good verbal and written communication skills. Proven ability to translate technical concepts into articulate actionable recommendations.
This position is responsible for leading the development of analytic solutions through across a broad array of credit, fraud, insurance and marketing business applications. This position requires a good general understanding of financial services risk management practices and familiarity with credit bureau data and solutions.
- You will partner with state\-of \-the\-art Credit Risk Modeling team who work on entire lifecycle of risk scorecards from development to sunset.
- You will be a leading key contributor to cross\-functional teams that drive new business initiatives and deliver long term, value\-added solutions to TransUnion customers.
- You will own analytic responsibilities for internal and external stakeholders, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will interact directly with TransUnion business unit partners and provide an analytic perspective and general support as needed.
- You will lead complex custom analytic engagements in support of a variety of business use cases from start to finish: contributing to opportunity management (e.g. writing proposals), designing solutions, leading analytic developments, and seeing solutions through to deployment and on\-going monitoring.
- You will provide oversight and hands\-on support for the development of analytic solutions using languages R, Python, formalizing some of these efforts into repeatable process improvements.
- You will contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
- You will participate in the mentoring and training of junior colleagues, fostering a high\-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.
- You may participate in the interviewing and evaluation of new talent.
In addition to core responsibilities, you will lead innovation labs—high\-impact client engagements offering deep exposure to business challenges while delivering cutting\-edge solutions within tight timelines. You will develop and scale POCs into production\-ready solutions, effectively manage critical stakeholder conversations, and provide timely, constructive feedback to drive continuous improvement.
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 Consultant, Analytics Consulting