Related skills
sql python databricks machine learning kyc📋 Description
- Develop and validate models for AML typology, risk scoring, SAR with ML engineers.
- Translate regulatory needs into analytical problems; define targets.
- Explore on-chain/off-chain data to surface patterns and features; use AI tooling.
- Apply AI-assisted coding and automation; use LLMs to improve analytics.
- Collaborate with ML and data engineers to productionize analytics and ensure data quality.
- Document models and analyses for regulatory review with clear lineage.
🎯 Requirements
- 8+ years in data science or analytics with compliance/financial crime/crypto experience.
- Python and SQL expertise; ML across supervised, unsupervised, and anomaly detection for compliance.
- Experience with Spark, Databricks, Hadoop, or MaxCompute; comfortable with notebooks.
- Solid AML, KYC/KYB, sanctions, or transaction monitoring knowledge with stakeholders.
- Hands-on AI-assisted workflows; use LLM coding tools and automated pipelines.
- Familiarity with model governance and explainability in regulated environments.
🎁 Benefits
- Competitive total compensation package
- L&D programs and education subsidy for growth
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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