Job Specifications
Role Summary
We are looking for a techno-functional leader with deep experience in Payments domain and AI/ML solutions to design and implement intelligent, AI-enabled payment solutions. The role requires someone who can engage with business stakeholders, design AI-driven architectures, and also contribute hands-on to development and deployment, particularly in AI MLOps environments. This is not a pure data scientist role or a pure BA role but a design + build + deploy role within Payments transformation programs.
Key Responsibilities
1. Payments Domain & Functional Leadership
Work with stakeholders across Payments (Wire, ACH, SWIFT, ISO 20022, Cards, Cross-border, Liquidity)
Identify AI-led automation and optimization opportunities in payments lifecycle
Translate regulatory, operational, and reconciliation challenges into AI solution use cases
Define business requirements and solution blueprints
2. AI Solution Design
Design AI/ML-driven solutions for:
Fraud detection & anomaly detection
Reconciliation automation
Payment routing optimization
Intelligent exception handling
AML pattern detection
Define model selection approach (ML, LLM, GenAI, rule-based hybrid models)
Design scalable, cloud-native AI architectures
3. Hands-on Development
Develop ML models / AI workflows using Python and relevant frameworks
Build APIs and integration layers for embedding AI into payments systems
Work with data pipelines (real-time + batch)
Implement data preprocessing, feature engineering, and model evaluation
4. AI MLOps & Deployment
Set up and manage ML lifecycle using MLOps frameworks
Implement:
Model versioning
CI/CD pipelines
Monitoring & drift detection
Governance and audit controls
Ensure production-grade deployment with compliance considerations
5. Stakeholder & Delivery Management
Interface with product teams, risk teams, operations, and engineering
Lead POCs and scale into production
Support proposal creation and AI solution articulation for clients
Domain
10+ years of experience in Banking/FinTech
Strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows)
Understanding of regulatory and compliance implications in payments
Experience working in payments transformation programs
Technical
Strong Python skills
Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
Experience with LLMs / GenAI frameworks (LangChain, RAG, prompt engineering, etc.)
Experience in cloud (AWS / Azure / GCP)
Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.)
API development experience
Techno-Functional Capabilities
Ability to translate business requirements into technical AI designs
Strong solution architecture capability
Experience designing and deploying AI solutions end-to-end
Good to Have
• Fraud / AML AI implementation experience
• Real-time payments exposure
• Knowledge of DevOps practices
About the Company
Crisil is a global, insights-driven analytics company. Our extraordinary domain expertise and analytical rigour help clients make mission-critical decisions with confidence.
Large and highly respected firms partner with us for the most reliable opinions on risk in India, and for uncovering powerful insights and turning risks into opportunities globally. We are integral to multiplying their opportunities and success.
Headquartered in India, Crisil is majority owned by S&P Global.
Founded in 1987 as India's first credit rati...
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