Job Title: Data Scientist – Fraud Analytics & Machine Learning
Location: Hyderabad
Experience: 6+ Years
Employment Type: Full-Time
Job Summary
We are seeking an experienced Data Scientist with strong expertise in Machine Learning, Fraud Analytics, Fraud Strategy, and Model Development to join our data science team.
The ideal candidate will have a proven track record of building and deploying multiple machine learning models in an industry workplace, with hands-on experience taking models from experimentation through production. Experience working within highly regulated industries and navigating Model Risk Management and Validation (MRMV) processes is highly desirable.
The candidate will work closely with business, fraud strategy, data engineering, technology, risk, and model governance teams to develop data-driven solutions that identify and prevent fraudulent activities while maintaining strong model governance and regulatory compliance.
Key Responsibilities
Machine Learning Model Development
Design, develop, validate,
and deploy machine learning models to solve complex business problems.
Demonstrate experience building and deploying at least 5 ML models in an industry setting.
Develop predictive models for fraud detection, risk assessment, transaction monitoring, and anomaly detection.
Perform feature engineering, model selection, hyperparameter tuning, and model optimization.
Evaluate model performance using appropriate statistical and machine learning metrics.
Translate analytical findings into actionable business recommendations.
Fraud Analytics & Modeling
Develop advanced analytics and machine learning solutions to identify fraudulent transactions and suspicious behavior.
Analyze transaction, customer, behavioral, and historical data to identify fraud patterns.
Develop fraud detection strategies using statistical and machine learning techniques.
Identify emerging fraud trends and recommend appropriate detection strategies.
Work with Fraud Strategy teams to