Back
Strong employer brand, generic Data Scientist title, and metro Gurgaon location increase competition density.
Focus on credit and fraud modeling in FSI requires sector-specific domain expertise and reduces cross-industry transferability.
Mandates Big Data platforms, advanced ML techniques, specific programming languages, and a Master’s degree.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead preparation of business insights and data visualization dashboards using BI software.
Develop, deploy, and monitor credit and fraud risk models using advanced AI/ML techniques.
Ensure timely model development, validation, and integration with credit & fraud decision engines or data platforms.
Master’s degree in related fields.
Proficiency in big data platforms such as Hadoop, Spark, or AWS.
Experience with AI/ML methods including Random Forest, Gradient Boosting, SVM, Neural Networks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in handling credit and fraud risk modeling in financial services or related industries.
Strong technical expertise in big data ecosystems and advanced AI/ML model development.
Proven ability to translate data analytics into actionable business insights using visualization tools.