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The Data Scientist - Specialist at Equifax leads the Model Risk Management team in validating statistical and advanced AI models. This strategic role combines hands-on technical oversight, team mentorship, and advisory duties regarding risk governance and regulatory compliance. Candidates require 7+ years of quantitative experience, proven leadership skills, and expertise in emerging technologies like generative and agentic AI.

What you’ll do
- Lead, manage, and mentor a high-performing team of model validators, ensuring their skilled growth and development.
- Oversee the execution of multiple complex validation projects simultaneously, from test design to final delivery and communication.
- Foster a culture of critical thinking, continuous improvement, and effective risk management within the team.
- Collaborate with global partners to supervise validation projects,



ensuring a consistent and technically sound approach to AI/Model Risk Management across non-direct reporting lines
- Perform and lead independent, hands-on model validations, including deep-dive analysis of model design, performance, and implementation.
- Develop and execute comprehensive validation test designs to assess model soundness and identify potential risks.
- Critically assess the completeness and accuracy of model documentation, code, and marketing materials.
- Conduct deep-dive research on emerging analytical techniques, with a particular focus on validating models using generative AI and agentic AI.
- Develop and implement innovative validation approaches for complex and nontraditional models, including those with unstructured data and unique risk profiles.
- Serve as a trusted advisor to model developers and business owners on model design, development, and risk mitigation

📌 Data Scientist (Pune)
🏢 Equifax
📍 Pune