Back
High due to Tier-1 brand, popular Data Scientist role, and Gurgaon metro location.
High because credit and fraud modeling requires strong financial-services domain expertise.
High because the role mandates specific ML, big-data technologies and domain expertise.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Transform complex data into business insights and user-friendly dashboards using BI software.
Develop, deploy, monitor, and validate credit and fraud risk models using advanced AI/ML techniques.
Ensure timely delivery, efficacy, and adherence to processes in model development and deployment within credit and fraud decision systems.
Master’s degree in related fields required.
Experience working with Big Data platforms such as Hadoop, Spark, or AWS.
Proficient in AI/ML techniques including Random Forest, Gradient Boosting, SVM, Neural Networks.
Skilled in programming languages SQL, Python, R, or Scala.
Experienced in financial services industry or similar domain involving credit/fraud risk modeling.
Strong analytical and problem-solving capability demonstrated through managing model life cycles and data visualization.
Operates effectively in data-driven, technology-enabled environments with a focus on AI/ML and Big Data integration.