Digital Finance CoE - AI Analyst

About the role

• Use Python, SQL, and applied AI/ML techniques to analyze finance datasets, build predictive insights, and generate reports that improve client finance operations. Configure systems and develop finance solutions that combine automation with machine-learning models to improve data quality, exception detection, and operational efficiency.

What you'll do

• Use Python, SQL, and applied AI/ML techniques to analyze finance datasets, build predictive insights, and generate reports that improve client finance operations
• Configure systems and develop finance solutions that combine automation with machine-learning models to improve data quality, exception detection
• Design Python-based automation and AI/ML pipelines for finance use cases using Pandas, NumPy, and scikit-learn for data preparation, feature engineering
• Develop, test, and deploy RESTful APIs using Flask, Django REST Framework
• Work with cross-functional teams to identify finance processes suitable for Python automation, predictive analytics, anomaly detection, and AI-enabled decision support

What you need

• 2–5 yrs of experience
• Machine learning
• Python
• Customer service
• SQL
• REST APIs
• FastAPI
• MBA or B.Tech or B.E.

Good to have

• Pandas
• NumPy
• Scikit-learn
• Flask
• Django