Data Scientist - Specialist

Equifax — IND-Pune-Equifax Analytics-PEC

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. 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 professional 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 strategies. Revie

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