Model Developer - R & Python - AML / Sanctions / Fintech Crime Domain

Description :

Job Title : Model Developer (Python & R) AML / Sanctions / Fintech Crime

Experience : 412 years

Location : [Gurgaon / Mumbai / Hyderabad / Chennai]

Employment type : Full-time

Role overview :

Were looking for a hands-on Model Developer to design, build, validate and productionize statistical & ML models used for Anti-Money Laundering, sanctions screening, transaction monitoring and other fintech-crime detection use cases. The role sits at the intersection of data science, compliance and engineering youll deliver robust, explainable models that reduce false positives, detect novel typologies and integrate into real-time and batch monitoring pipelines.

Key responsibilities :

• Design and implement statistical and machine-learning models (supervised, unsupervised, graph-based, anomaly detection) for transaction monitoring, name-screening / fuzzy matching, entity resolution and typology detection.
• End-to-end model lifecycle : data exploration, feature engineering, training, hyperparameter tuning, backtesting, performance evaluation, validation and deployment.
• Build and maintain scoring pipelines for both batch and low-latency / real-time environments.
• Implement name-matching / fuzzy matching algorithms (e.g., Levenshtein, Jaro-Winkler, phonetic methods), sanctions list handling and multi-lingual normalization.
• Work with compliance / ops teams to translate business rules and typologies into model features and detection logic.
• Create model explainability and documentation (model cards, assumptions, limitations, versioning) to support model governance and audit.
• Monitor model drift, performance metrics, false positive / false negative rates and run periodic recalibration / retraining.
• Participate in model validation and support internal / external audits and regulatory inquiries.
• Collaborate with data engineers and SRE / DevOps to containerize models (Docker), CI / CD for models, and ensure secure deployment in cloud / on-prem.
• Communicate technical results and tradeoffs clearly to non-technical stakeholders.

Required technical skills & experience :

Behavioral & communication skills :

Education :

Bachelors or Masters in Computer Science, Statistics, Mathematics, Data Science, Economics, or related quantitative field (or equivalent practical experience).

Kindly note : We are looking for candidates to join with a notice not more than 30 days

(ref : hirist.tech)