Consultant, Data Science & Analytics- Credit Risk

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Team Overview

The Analytics Consulting Group partners with financial institutions and fintech clients to solve credit risk and lending challenges through advanced analytics and data-driven insights. The team delivers consulting, modeling, and portfolio management solutions that help clients improve business performance, optimize risk strategies, and drive growth. The existing team rolls up into a centralized GCC group that partners with various markets to provide niche and high-quality solutions. 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

·       Lead credit risk analytics and modeling engagements from solution design through implementation and monitoring.

·       Partner with clients and stakeholders to understand business challenges and develop data-driven recommendations.

·       Develop, validate, and monitor credit risk scorecards and other predictive models.

·       Perform portfolio analytics, segmentation studies, and strategy assessments to improve business and risk outcomes.

·       Manage multiple workstreams, ensuring high-quality delivery and stakeholder alignment.

·       Contribute to proposal development, solution design, and knowledge-sharing initiatives.

Required Knowledge and Experiences

·       Bachelor’s or master’s degree in STEM discipline with 5+ years of analytics and modeling experience.

·       Experience in credit risk modeling, scorecard development, model monitoring, validation, portfolio analytics, or risk strategy analytics.

·       Strong understanding of lending products including credit cards, personal loans, auto loans, mortgages, or SME lending.

·       Experience working consulting environment – dealing directly with clients or business stakeholders to translate business problems into analytical solutions.

·       Strong communication, problem-solving, and project management skills.

Required Knowledge And Experiences

·       Proficiency in Python, R, SQL or similar analytical tools with credit risk domain expertise

·       Experience in predictive modeling, scorecard development, and portfolio analytics.

·       Ability to work with large datasets and apply statistical techniques to solve business problems.

·       Experience using analytical and reporting tools to generate actionable insights.

We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:

·       Experience in analytics consulting within banking, financial services, fintech, or lending organizations.

·       Exposure to machine learning techniques and advanced analytical approaches.

·       Experience contributing to team’s analytics capability development and process automation initiatives.

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 Consultant, Analytics Consulting