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sql python ai mlops mlπ Description
- Lead analytics and AI initiatives across AML, sanctions, KYC/KYB, and monitoring.
- Collaborate with product, compliance stakeholders; translate rules into analyses.
- Drive AI-native workflows: LLM coding, automated pipelines, AI investigations.
- Work hands-on with ML engineers on production-grade models that are auditable.
- Provide technical guidance and mentorship through reviews and problem solving.
- Maintain governance and docs to support regulatory reviews.
π― Requirements
- 10+ years in data science, analytics, or ML with leadership in compliance or fintech.
- Solid compliance domain knowledge in AML, sanctions, KYC/KYB, risk scoring.
- Strong Python and SQL, applied ML, and some MLOps/data engineering fluency.
- AI-first mindset; ability to build team confidence with AI in compliance.
- Good cross-functional communication with compliance, product, and engineers.
- Experience mentoring data scientists and analysts in regulated env.
π Benefits
- Competitive total compensation package.
- L&D programs and Education subsidy for growth and development.
- 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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