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Tier-1 employer and metro location increase competition, role remains specialized in credit/fraud ML.
Role requires domain-specific credit/fraud expertise in FSI, reducing cross-industry transferability.
Senior leadership title plus required ML, Big Data, deployment skills and FSI domain make filtering strict.
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Oversee creation of business insights and data visualization dashboards to support decision-making.
Develop and deploy credit and fraud risk models using advanced AI/ML techniques in production environments.
Monitor and validate model performance ensuring consistency, reliability, and adherence to timelines.
Master’s degree in a related field.
Experience required: Not explicitly mentioned in the JD.
Proficiency in handling Big Data on Hadoop, Spark or AWS platforms.
Strong programming skills in SQL, Python, R, or Scala and expertise in AI/ML techniques like Random Forest, Gradient Boosting, SVM, Neural Networks.
Experienced in building and deploying credit and fraud risk models in financial services or similar domain.
Capable of transforming complex data into actionable business insights with dashboarding using BI tools.
Technically strong with advanced data science skills and hands-on experience in big data environments and AI/ML model lifecycle management.