Data Scientist - Specialist

Equifax Canada; Pune District; Hybride; INR 4 000 000 - 6 000 000; Plein temps

Avantages offerts par ce poste

Healthcare packages

Paid time off

Online learning platform

Hybrid work setting

Résumé du poste

Equifax Analytics in Pune leads a team responsible for validating complex predictive models and AI systems. You will guide a high‑performing team, oversee end‑to‑end validation efforts, and collaborate with global partners on risk management.

You will drive innovation in validation methodologies and ensure rigorous documentation and regulatory alignment. The role emphasizes leadership, advanced analytics expertise, and strong communication with stakeholders across marketing, technology, legal,

Qualifications

• Master's degree in a quantitative field such as statistics, data science, computer science, mathematics, economics or finance.
• 7+ years of industry experience in predictive modeling, data science, or a related quantitative field.
• Minimum of 3 years leading a team with 6+ direct reports.
• Strong knowledge of forecasting analytics or ML techniques including generative and agentic AI.
• Experience with Big Data environments and model risk management.

Responsabilités

• Lead, manage, and mentor a high‑performing team of model validators.
• Oversee multiple complex validation projects from design to delivery.
• Collaborate with global partners on AI/Model Risk Management.
• Perform independent model validations with deep‑dive analysis.
• Develop validation test designs to assess model soundness and risks.
• Review model documentation, code, and marketing materials for accuracy.
• Research emerging analytics techniques, including generative and agentic AI.
• Advise developers and business owners on design and risk mitigation.
• Contribute to governance, monitoring plans, and regulatory alignment.

Connaissances

Team leadership

Model validation

Critical thinking

Communication skills

Formation

Master's degree in quantitative field

Outils

SAS

SQL

R

Python

Scala

Spark

UNIX/Linux

Google Cloud

Description du poste

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.

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.
• Review and provide guidance on model monitoring plans and ongoing performance reports.
• Drive the enhancement of Model Risk Management procedures and standards to align with evolving regulatory requirements and industry best practices.
• Collaborate with key stakeholders across the organization, including marketing, technology, legal, compliance, and business owners, to ensure a robust model risk governance framework.
• Respond to and manage inquiries from clients, internal auditors, and regulators regarding model risk matters.

What experience you need

• Master's degree in a quantitative field such as statistics, data science, computer science, mathematics, economics, or finance.
• 7+ years of industry experience in predictive modeling, data science, or a related quantitative field. Prior experience with credit risk model development and/or validation is highly preferred.
• A minimum of 3 years of experience managing a highly talented team with 6 or more direct reports is preferred.
• Strong knowledge of and hands‑on experience with either advanced forecasting analytics (e.g., logistic regression, time series modeling, ML classification models) or advanced machine learning techniques including generative AI and agentic AI.
• Extensive experience with Big Data environments and advanced computational processes.
• Demonstrated experience with model risk management and/or compliance is highly preferred.
• Exceptional critical thinking, problem‑solving, and analytical skills.
• Proven ability to quickly grasp complex concepts and identify potential model issues or validation gaps.
• Excellent interpersonal, networking, verbal, and written communication skills, with a proven ability to write and edit high‑quality technical reports.
• Proficiency with programming languages such as SAS, SQL, R, Python, Scala, and Spark.
• Hands‑on experience with UNIX/LINUX and Google cloud environments.
• Highly detail‑oriented, proactive, and efficient.

What could set you apart

• Familiarity with regulatory requirements and guidelines related to Model Risk Management.
• Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9.
• First‑hand experience on cloud‑based platforms including GCP, Azure, or AWS.
• Exposure to AI agents, multi‑agents and/or Agentic AI Frameworks.
• Excellent communication and presentation skills.

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Primary Location: IND-Pune-Equifax Analytics-PEC

Function: Function - Data and Analytics

Schedule: Full time