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Compliance Technology Specialist

Deriv
Dubai, UAE
Full-time
Senior
Onsite
Discovered 1 weeks ago
PythonSQLNLPLLMAI/MLAWS
Free

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  • Automated AML review pulling data, computing risk metrics, and flagging high-risk clients without a human running the same query every morning
  • Regulatory research automation: feed in a jurisdiction and licence type, get back applicable laws, requirements, and risk factors
  • Dozens of fraud detection models running continuously in production, watching for money movement patterns and coordinated network behaviour
  • Regulatory Monitoring & Intelligence — NLP systems that read global rule changes and surface what actually needs action
  • Onboarding, AML & Fraud Workflows — microservices and rule engines replacing manual review steps
  • RegTech Integration — evaluating and integrating AI/ML, blockchain, and digital identity tools into KYC, transaction monitoring, and sanctions screening
  • Design systems that aggregate rule changes across jurisdictions, use NLP to work out what they actually mean, and generate alerts with a recommended action attached—not just "something changed"
  • Build onboarding, AML, and fraud detection workflows on microservices and rule engines that remove hand-offs and catch more than a checklist ever could
  • Turn a regulatory obligation into the tooling, governance, and audit evidence it actually requires—no one hands you that translation, you do it
  • Assess AI/ML, blockchain, and digital identity tools against real requirements, run proof-of-concept testing, and lead integration into KYC, transaction monitoring, and sanctions screening.
  • Extend blockchain compliance capabilities: crypto transaction monitoring, counterparty risk scoring, and Travel Rule adherence
  • Design automated data governance frameworks aligned to GDPR, ISO 27001, and DORA, with integrity and auditability built in from the start, not bolted on after an audit finding
  • Build AI-driven risk models and simulations for fraud and operational risk, with outputs a human reviewer can actually interpret and stress-test
  • You've shipped compliance systems that run. Microservices, rule engines, NLP pipelines—you've built them into production, not just described them in a policy document.
  • You can read a regulation and build for it. You translate "the obligation" into "the tooling, governance, and audit trail it needs" without waiting for someone else to do that translation.
  • You lead through ambiguity. When a requirement's unclear or priorities compete, you make a call, take feedback, and adjust. You don't wait around for certainty that isn't coming.
  • You mentor without being asked. Newer engineers and analysts on the team learn from how you work, not just from what you tell them.
  • You're fluent in GDPR, ISO 27001, and DORA. Or close enough that you know exactly where to dig deeper. You design governance in, rather than checking for it afterward.

• Languages: Python, SQL

  • AI/ML & RegTech: NLP/LLM pipelines for regulatory text, rule engines, ML-driven risk models, blockchain and digital identity tooling
  • Infrastructure: Microservices architecture, real-time data pipelines, AWS, PostgreSQL

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