About This Role

5 years of experience
Skills: Python, Machine Learning, NLP, BERT, RoBERTa, FinBERT, Transformers, Hugging Face, PyTorch, TensorFlow, scikit-learn, spaCy, NLTK, Text Classification, Model Benchmarking, Precision Recall, F1 Score, AUC ROC, Threshold Tuning, Model Calibration, Drift Detection, PSI, KL Divergence, SHAP, LIME, Explainability, Feature Engineering, Tokenization, Data Processing, Pandas, NumPy, Spark, Dask, Financial Compliance, Market Abuse Detection, Insider Trading, Conduct Risk, Surveillance Systems

Role Overview

We are seeking an ML Developer with expertise in natural language processing and financial compliance to design, implement, and benchmark deterministic and transformer-based detection models for electronic communication surveillance. requires detect market abuse, conduct risk, information barrier breaches, and off-channel evasion across trader communications.

ASIC INFO 283 explicitly warns against reliance on vendor default alert thresholds, requiring licensees to calibrate models to their specific risk profile.



You will build the model benchmarking framework that continuously tests and measures detection model effectiveness, enabling to demonstrate to regulators that its surveillance models are tuned, validated, and performing to measurable standards.

Key Responsibilities
- Design and implement deterministic detection models for eComms surveillance: market abuse language, insider information patterns, tipping-off phraseology, information barrier breaches, conduct risk, off-channel evasion, and trade-comms correlation
- Develop and fine-tune transformer-based NLP models (BERT, RoBERTa, FinBERT) for context-aware detection beyond easy lexicon matching
- Build and maintain a model benchmarking framework with ground truth datasets, precision/recall/F1 measurement, AUC-ROC analysis, and automated weekly benchmark runs
- Implement threshold tuning workflows to calibrate alert sensitivity per desk, asset class, and jurisdictio

📌 ML Developer — Surveillance Detection Models (Gurugram)
🏢 Lister Digital
📍 Gurugram