Jobs at Deriv.com

Perform daily three-way reconciliations across 53+ fiat and crypto payment service providers, back-office records, and ERP systems. Investigate and resolve discrepancies involving settlements, fees, balances, currencies, and data quality. Conduct UAT for an AI reconciliation platform, document PSP-specific workflows, support month-end close, escalate data and engineering issues, and improve exception-handling processes.

Lead a data engineering team responsible for delivery, growth, pipeline reliability, governance, and engineering standards. Establish OKRs, improve delivery velocity, remove blockers, and build autonomous teams. Own data quality, lineage, anomaly detection, SLAs, observability, and CI/CD practices. Drive AI coding assistant adoption and automation while translating business requirements into executable roadmaps. Partner with technical, product, finance, compliance, and leadership stakeholders to balance speed, reliability, cost, governance, and team capacity.

Build and maintain governed batch and real-time data pipelines supporting trading, analytics, compliance, fraud detection, and AI/ML systems. Responsibilities include implementing observability and data quality checks, maintaining data contracts, handling regulated data, optimizing warehouse performance and cost, developing scalable data models, and partnering with technical and business stakeholders. The role also involves code review, mentoring, root-cause analysis, and improving platform reliability.

Own risk assessment and modeling frameworks across trading operations, design stress tests and scenarios, evaluate AI-assisted monitoring outputs, and improve predictive risk models. The role identifies missed exposures, distinguishes meaningful signals from noise, develops playbooks and standards, presents findings to executives, and partners with compliance to ensure risk assessments meet regulatory expectations.

Own risk assessment and modeling frameworks across trading operations, identify gaps in existing models, design stress tests and scenarios, and direct AI-assisted monitoring. The role evaluates model alerts, feeds findings back into predictive systems, builds reusable risk frameworks and playbooks, partners with compliance, and presents actionable findings to executive stakeholders. It requires sound judgment in incomplete-data environments and influence without direct people management.

Investigate flagged accounts and transactions, conduct customer due diligence, review high-value deposits and withdrawals, perform PEP, sanctions, and adverse media screening, prepare compliance reports, support regulatory filings, and improve compliance processes. The role requires sound judgment, precise communication, regulatory knowledge, and collaboration with operational and product teams in a regulated financial environment.

Investigate flagged accounts and transactions, conduct customer due diligence, review high-value deposits and withdrawals, and perform PEP, sanctions, and adverse media screening. Prepare compliance reports and support regulatory filings while advising operational and product teams on regulatory requirements. Identify process weaknesses, recommend improvements, and make defensible compliance decisions using AI-enhanced tools and complex transaction data.

Build and extend production compliance technology, including regulatory intelligence NLP systems, AML and fraud workflows, rule engines, RegTech integrations, blockchain monitoring, and AI-driven risk models. Translate regulatory obligations into tooling, governance, and auditable evidence. Design data governance aligned with GDPR, ISO 27001, and DORA, evaluate emerging compliance technologies, explain model decisions, and mentor engineers and analysts while operating effectively amid changing requirements.

Build and maintain production compliance technology, including regulatory intelligence systems, AML and fraud workflows, RegTech integrations, blockchain monitoring, data governance frameworks, and AI-driven risk models. Translate regulations into tooling, controls, and audit evidence; evaluate AI/ML and digital identity solutions; support KYC, sanctions screening, and Travel Rule compliance; and mentor team members.

Manage regulatory compliance operations and licensing for global entities across investment services, banking, and virtual assets. Conduct monitoring, legal reviews, gap analyses, regulatory engagements, inspections, audits, filings, and policy development. Advise international teams on regulatory obligations, maintain compliance frameworks, and partner with engineers to automate compliance processes using AI tools.

Own security operations across threat detection, incident response, threat hunting, AI-driven anomaly detection, security automation, cloud hardening, identity controls, WAF/CDN protection, and CI/CD security. Build SIEM detections, tune EDR/XDR, automate response playbooks, create visibility dashboards, investigate threats, enforce Zero Trust, and reduce cloud and application misconfigurations. The role requires translating technical risk for engineering leaders and executives in a regulated, high-scale trading environment.

Lead end-to-end vulnerability management across cloud, infrastructure, endpoints, Kubernetes, containers, and networks. Own discovery, risk-based prioritization, remediation, validation, exception governance, SLA enforcement, reporting, and automation. Optimize Qualys VMDR, integrate vulnerability findings with CSPM, IAM, SIEM, EDR, and threat intelligence, and implement AI-assisted prioritization and validated automated patching. Serve as the technical authority, mentor analysts, coordinate with IT and engineering, and support audits and security architecture reviews in regulated environments.

Own risk assessment frameworks and exposure modeling across trading operations. Design rigorous stress tests and scenarios, use AI tools to identify patterns in large datasets, evaluate model alerts, improve monitoring systems, present findings to executives, develop risk playbooks, and partner with compliance to ensure risk assessments meet regulatory expectations.

Lead Deriv’s trader communities, creator partnerships, and social channels across global markets. Design high-retention community experiences, curate credible educator-creators, direct AI-assisted content and moderation workflows, manage platform strategy, and optimize growth using retention and engagement data. Collaborate with engineering, Compliance, Content, Partner, and Regional teams to convert community trust into measurable growth.

Maintain and improve global IT infrastructure across macOS and Linux endpoints, on-premises servers, networks, VPNs, firewalls, access points, and MDM systems. Troubleshoot hardware, software, and connectivity issues; automate repetitive workflows using scripts, integrations, and AI tools; support onboarding; manage device compliance; and collaborate with teams and vendors across time zones.

Own disaster recovery and incident management as an engineering discipline for business-critical trading systems. Design and run live failover exercises, establish risk-based RTO/RPO targets, maintain production-aligned recovery strategies, command major incidents, lead post-incident reviews, and ensure remediation closure. The role also uses AI for failure modeling, incident signal correlation, runbook automation, and resilience reporting while partnering with engineering, infrastructure, SRE, Compliance, and Risk.

Own partner acquisition, onboarding, lifecycle management, performance, and commercial negotiations across MENA. Recruit and grow IBs, affiliates, fintech partners, payment providers, and strategic alliances; structure commissions and volume agreements; improve underperforming accounts; contribute feedback to AI-enabled operational systems; mentor junior executives; and represent Deriv at industry conferences and partner events.

Conduct technology risk-based IT audits across regulated banking, virtual asset, and investment entities. Evaluate IT governance, cybersecurity, data protection, cloud environments, DevOps pipelines, blockchain systems, wallets, trading platforms, IAM, and encryption controls. Identify vulnerabilities, track regulatory frameworks, collaborate with Engineering and InfoSec, report findings to senior leadership and audit committees, and drive remediation plans. Requires deep technical auditing expertise, regulatory knowledge, strong communication, and the ability to challenge complex engineering environments.

Maintain and improve global IT infrastructure across endpoints, servers, networks, and offices. Responsibilities include automating workflows, monitoring systems, managing MDM deployments, supporting LAN, Wi-Fi, VPN, and site-to-site connectivity, troubleshooting hardware and software, onboarding employees, providing local and global technical support, and collaborating with vendors and security teams.

Conduct legal and regulatory research on financial promotions, marketing compliance, solicitation, licensing, and cross-border conduct-of-business rules. Interpret ambiguous regulations across jurisdictions, review promotional materials, advise marketing and legal teams, monitor regulatory developments, and provide commercially practical guidance. The role also partners with engineers and uses AI tools to support compliance reviews while retaining responsibility for legal judgment.