Associate Data Scientist
Core
Build Machine Learning solutions and ETL pipelines to uncover risk signals (fraud, money laundering) for financial institutions using unstructured data.
Role type
Associate Data Scientist (IC)
Builds
Production ML models and data pipelines for financial crime risk management
Domain
Financial services / Anti-Money Laundering (AML) / Fraud Detection
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Python, SQL, PySpark, Scala, ETL pipeline design, supervised/unsupervised learning, NLP
Preferred skills
Applied NLP (topic modeling, text classification, word embeddings, named entity extraction), Large Language Models (LLMs)
Technologies
Python, Scala, Java, R, SQL, Spark, PySpark, LLMs
Responsibilities
Prototype and build complex ML solutions, design and maintain ETL pipelines, train ML models, implement solutions in production codebase, leverage LLMs for data tasks, participate in code reviews
Seniority
Associate, early-career IC
