Digital Finance CoE - AI - Senior

Operational:

• • 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. Functional:
• • Design Python-based automation and AI/ML pipelines for finance use cases using Pandas, Num. Py, and scikit-learn for data preparation, feature engineering, model development, and evaluation.
• Develop, test, and deploy RESTful APIs using Flask, Django REST Framework, or FastAPI to integrate Python and ML services with financial systems and third-party applications. Strategic:
• Work with cross-functional teams to identify finance processes suitable for Python automation, predictive analytics, anomaly detection, and AI-enabled decision support.
• Support solution strategies by translating business needs into scalable Python, AI, and ML components aligned with client-service objectives. Client Interactions:
• Collaborate with global clients to understand finance transformation needs and develop Python-based automation and AI/ML solutions for specific business challenges. Explain technical concepts, model outputs, assumptions, and limitations clearly to non-technical stakeholders to support adoption and informed decisions. Work experience
• Total Number of Years of Work Experience: 4+ years
• Relevant Number of Years of Work Experience Required: 4+ years in Python development, including hands-on AI/ML delivery
• Special Call Outs on the Nature of Work Experience: Hands-on experience building Python solutions and AI/ML models for data-driven business or finance use cases; exposure to client-facing delivery and process improvement is preferred.