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What We'll Bring:

What You'll Bring:

• Bachelor’s or higher in a quantitative field (e.g., statistics, applied mathematics, financial mathematics, computer science, engineering, operations research) with a strong academic record.
• 5 years or above experience in supporting clients and at least 4 years in analytics, ideally in industries like financial services, insurance, or digital marketing.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude: proficiency with statistical programs such as R or Python; experience with other programming languages (SQL, C/C++, Java, Ab Initio) and platforms (Hive, Spark)
• Capable of leading complex analytics projects with minimal supervision and cross-functional collaboration.
• Excellent project/time management; able to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and communication skills; able to influence stakeholders at all levels.
• Deep understanding of industry trends and customer needs to identify business opportunities.
• Skilled in translating technical insights into actionable business recommendations.
• Occasional travel required.

Impact You'll Make:

• Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for customers. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies and retail banks.
• Lead analytics engagements across the consumer lending lifecycle using descriptive, predictive, and prescriptive techniques (e.g., segmentation, logistic regression, PCA, decision trees, random forests, XGBoost).
• Design and develop programs for data extraction, segmentation, and statistical analysis on large datasets using tools like R, SQL, and Hive.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• Identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion’s values.

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