We're not hiring a compliance officer who flags issues after the fact. We're hiring someone who builds the systems that catch them before they become fines.
Why This Matters
Deriv's mission is Trading for Anyone, Anywhere, Anytime. Real money, real regulations, real consequences—across every jurisdiction we operate in. Manual compliance doesn't scale to millions of transactions, and rules change faster than any policy team can track by hand.
We're building continuous monitoring, automated regulatory intelligence, and audit trails that regulators actually trust—because they're more consistent than human-only review.
Why Deriv
We're already automating compliance, not planning to.
You'll extend systems already running in production, not pitch ideas that might get funded.
Scope
This is an Individual Contributor role. You'll lead through technical expertise, not people management—though you'll mentor others and shape how the team works.
You'll own components within one or two of these areas, with exposure to the rest:
Your day-to-day focus depends on team priorities, but the work touches all three.
What You'll Do
Build the regulatory radar
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"
Replace manual review with working systems
Evaluate and integrate RegTech
Govern the data, not just the process
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
Model the risk, not just the rule
Build AI-driven risk models and simulations for fraud and operational risk, with outputs a human reviewer can actually interpret and stress-test
Who You Are
The Honest Reality
This is demanding work. You'll own systems where a missed pattern isn't a bug ticket—it's a regulatory finding. You'll balance thorough checking against operational speed, and you'll need to explain what an AI-driven risk model actually decided to people who distrust black boxes by default. You'll lead through requirements that shift mid-build, and mentor while you're still learning some of this yourself.
But you'll build compliance technology that scales with transaction volume instead of headcount. You'll work across RegTech, AI, and blockchain in a function most companies still run on spreadsheets and hope.
If you want settled specs and stable requirements, this isn't it. If you want to build the systems compliance runs on next, it might be.