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Senior Machine Learning / Data Engineering / Data Science Engineer – Credit Risk
Quant-data.ioraipur, chattisgarh, in11 hours ago
Job descriptionBuild large-scale ETL / ELT pipelines using AWS and open-source stacks (Airflow, Spark, Trino, EKS, S3, EC2). Implement robust data quality , lineage tracking, anomaly detection, and incremental loading. Optimize compute and storage for performance, reliability, and cost (including Graviton). Deploy models using MLflow , Flask, or FastAPI. Implement model monitoring , drift detection, CI / CD, and automated retraining workflows. Ensure compliance with Basel III, SR 11-7, GDPR, PDPA using explainability and governance tools. Build dashboards for model performance, data quality, and underwriting analytics. Build and deploy APIs using API Gateway, Lambda, ECS / Fargate, or EKS . Integrate ML scoring pipelines with LOS / LMS , credit bureaus, and partner systems. Conduct demos, PoCs, and technical workshops with clients. Translate business problems into credit product workflows , decision rules, and risk logic. 5+ years in Machine Learning, Data Engineering, or Data Science . Hands-on experience building credit risk, fraud, or behavioural ML models . Strong expertise in Python, PySpark, SQL , and ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with Spark, Hadoop, Kafka, Trino / Presto . Strong understanding of credit underwriting workflows , lending KPIs, and risk decisioning. Experience building and deploying ML scoring APIs . Familiarity with MLOps best practices and production ML systems. Strong grasp of data governance , regulatory compliance, and model documentation. AWS experience with VPC, ECS / EKS, S3, IAM, Athena, Lambda . Background in banks, NBFCs, fintechs, or credit bureaus . Pre-sales or client-facing solutioning experience. Exposure to alternative data modelling . Degree in Computer Science, Data Science, Statistics, Engineering , or related fields.
🚀 Senior Machine Learning / Data Engineering / Data Science Engineer – Credit Risk
Build Next-Generation AI-Powered Credit Decisioning Systems on AWS
We’re seeking a highly experienced engineer (5+ years) with deep expertise in credit risk modelling , lending workflows , and end-to-end credit decisioning systems . You will design and deploy production-grade models, data pipelines, APIs, and governance frameworks that power modern lending products.
🔍 Key Responsibilities 1. Credit Risk Modelling & Decisioning
- Develop and validate credit scoring , PD / LGD / EAD , and behavioural / collections models .
- Build rule-based + ML hybrid underwriting engines and challenger models.
- Design and implement feature stores , scorecards, segmentation logic, and reason-code / XAI frameworks .
2. Data Engineering & Architecture (AWS)
3. MLOps & Governance
4. APIs & Integration
5. Product Solutioning & Pre-Sales (Good to Have)
🎯 Required Skills & Experience
⭐ Preferred Qualifications
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Senior Data Learning • raipur, chattisgarh, in
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