Senior Data Scientist ML/DL Research
Core
Drive the machine learning (ML) and deep learning (DL) research agenda for the client-classification engine and adjacent transaction risk control/anti-fraud scenarios across the trading chain.
Role type
Senior IC machine-learning engineer (research & production)
Builds
Client-classification engine, transaction risk control, and anti-fraud systems for trading platforms
Domain
Fintech / Financial Services / Trading
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, PyTorch, TensorFlow, experiment design, backtesting, validation, model monitoring, retraining triggers
Preferred skills
Deep learning (LSTM, GRU, Transformers), representation learning (embeddings, autoencoders), handling imperfect data (semi-supervised, weak supervision), large-scale experimentation (Spark, Databricks, MLflow)
Technologies
PyTorch, TensorFlow, scikit-learn, Spark, Databricks, MLflow
Responsibilities
Translate business questions into measurable data solutions; experiment with ML/DL algorithms for integrity and classification problems; design fair evaluation strategies and conduct robust backtesting; collaborate with engineers to deploy and monitor models; write design documents and experiment summaries
Seniority
Senior, hands-on IC