ABOUT THE ROLE:
FinX aims to build a digital bank that will deliver on the promise of simplicity, technological advancement, superior customer products & services.
You will work closely with Data Engineers, Analysts, and Product teams to design, build, and deploy Machine Learning/AI, data-driven solutions that power our business operations, product intelligence, recommendation systems, and AI-driven decision-making in banking and fintech fields
Job Description:
- Develop predictive and prescriptive machine learning models (classification, regression, forecasting, clustering, NLP, etc.)
- Build and optimize recommendation engines, scoring models, anomaly detection, and customer segmentation
- Develop risk scoring models for fraud detection, post-mortem fraud, and suspicious customer behavior analysis
- Conduct feature engineering, model selection, training, evaluation, and tuning
- Deploy models to production in collaboration with Data/ML Engineering teams
- Analyze large datasets to extract insights and identify growth opportunities
- Work with Product, Engineering, and Business teams to define ML use cases
- Translate business problems into analytical frameworks and ML solutions
- Collaborate with Risk, Fraud, Product, and Engineering teams to deliver AI-driven risk scoring and fraud monitoring solutions