Director, Data Science Product Development - Identity Fraud

What We'll Bring:

At Trans Union, we have a welcoming and energetic environment that encourages collaboration and innovation. We’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting‑edge technology.

The Director will act as a key leader of the Global Data Science & Analytics (GD&A) Identity Product Development team. This role requires data science expertise and resources necessary to build market‑leading Identity data products and analytic solutions in support of Trans Union’s Fraud roadmap. Maintains a strong vision of the state‑of‑the‑art and competitive landscape, advising on the best way (the “how”) to achieve objectives defined by Global Solutions stakeholders (the “what”).

This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions.

• 7+ years in data science and analytics
• 3+ years in progressively more challenging team management and leadership roles
• Master’s or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred.
• Technical Skills
  :
  Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, One Tru); high level of familiarity with Microsoft Office tools; statistical inference, and predictive modeling methods in a commercial setting including real‑time modeling, adversarial modeling, financial crimes, and anomaly detection.
• Functional Skills
  :
  Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem‑solving. Demonstrated interest and proven career path in industries served by Trans Union, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast‑paced environment.
  
  This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.

• Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted.
• Develop generalized, off‑the‑shelf scores, attributes, and other analytic solutions with alignment to the Identity Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions.
• Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through One Tru and other Trans Union platforms.
• Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D.
• Be a key leader in cross‑functional teams to ensure data science best practices.
• Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting.
• Attract and nurture leading data science talent, creating opportunities for continual professional growth.
• In‑depth knowledge of credit bureau data and identity products.

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