ML Developer — Surveillance Detection Models (Gurugram)

ML Developer — Surveillance Detection Models (Gurugram)

09 Sep
|
Accolite Digital India
|
Gurugram

09 Sep

Accolite Digital India

Gurugram

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 straightforward 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 jurisdiction — ensuring compliance with ASIC INFO 283 guidance
- Design false positive reduction strategies: contextual filtering, trader baseline profiling, alert clustering, and analyst feedback loops
- Develop false negative detection: red team simulated misconduct, historical replay testing, coverage gap analysis, and cross-model ensemble voting
- Prepare communication data for transformer models: tokenisation, sequence formatting with context windowing, label engineering from investigations, and data augmentation
- Implement model drift det

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

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