Data Scientist III - Financial Crime Risk Modeling
USD 96K-155K Senior-level Full Time
Tasks
- Apply statistical validation and hypothesis testing
- Build analytics solutions using machine learning
- Build and fine-tune LLM applications
- Collaborate with data and software engineering teams
- Detect anomalies and emerging risks
- Develop AML CTF risk models
- Facilitate remediation plans for risk governance issues
- Lead analytics initiatives
- Maintain and enhance AI solutions
- Perform model performance monitoring
- Translate business problems to data science solutions
- Visualize insights for decision makers
Perks/Benefits
- Career development
- Health and well-being benefits
- Paid time off
- Savings and retirement programs
- Skill development
- Training and onboarding
Skills/Tech-stack
Analytics reporting | Anomaly Detection | Classification | Customer Risk Rating | Data Mining | Data labeling | Financial Crime Compliance | Financial crime | Fine Tuning | Hypothesis Testing | LLM APIs | LLM Fine-tuning | LLM prompting | Language Models | Large Language Models | Machine Learning | Model Monitoring | Python | Regression | Risk rating | SQL | Sanctions screening | Statistical validation | Transaction monitoring
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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