Digital Finance CoE - AI Analyst
- LocationBangalore, Karnataka, India
- Work typeNot stated
- EmploymentFull-time
- Posted5 November 2026
- SourceKPMG Global Services's careers page (Oracle Recruiting)
Live checkFirst seen yesterday; still listed on KPMG Global Services's careers page 1 h ago.
Moves fastWhen KPMG Global Services takes a role down early, it is usually about 2 days after posting. Apply soon.
At a glance
- Experience2+ years
- EducationMaster's degree
- Skills and toolsPython, SQL, scikit-learn, Flask, Django, FastAPI
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Check my fitAbout the role
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, NumPy, 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.
Responsibilities
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.
Qualifications
Educational qualifications
• Minimum Qualification Required: B. Tech/MBA from a recognized Tier-1 institute
• Certifications Required: AI Certifications
Work experience
• Total Number of Years of Work Experience: 2+ years
• Relevant Number of Years of Work Experience Required: 2+ 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.
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