Related skills
sql python databricks machine learning hadoopπ Description
- Develop and validate models for AML typology, risk scoring, SAR analytics.
- Translate regulatory needs into analytical problems with compliance stakeholders.
- Conduct exploratory analysis on on-chain and off-chain data to surface patterns.
- Apply AI-assisted coding and automation: use LLM tools and automated workflows.
- Work with ML and data engineers to ensure production-ready analytics.
- Maintain documentation for models, data lineage, and performance metrics.
π― Requirements
- 8+ years in data science with finance/crypto compliance
- Strong Python and SQL; ML for typology detection and risk scoring
- Experience with Spark, Databricks, Hadoop, or MaxCompute
- Knowledge AML/KYC/KYB, sanctions, transaction monitoring
- Hands-on with AI-assisted workflows and LLM tooling
- Familiarity with model governance and explainability
π Benefits
- L&D programs and education subsidy
- Team events and wellbeing programs
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependants
- More details shared during the process
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