Compliance Automation & AI Analyst

We are a leading trading platform that is ambitiously expanding globally. Our top-rated products have won prestigious industry awards for cutting-edge technology and seamless client experience. We are continuously seeking talented individuals to join our growing team.

Essential:

• Demonstrable experience building automated workflows or tools using Python, with comfort working with APIs, data manipulation libraries (pandas, etc.), and scripting for practical business problems.
• Hands-on experience with AI/LLM tools (prompt engineering, integrating models via API, building AI-assisted workflows).
• Strong data analysis and visualisation skills; ability to work with messy datasets, build dashboards, and produce clear MI from multiple sources.
• Experience with low-code/no-code automation platforms (n8n, Zapier, Power Automate, or similar).
• Excellent communication skills; able to translate technical solutions into plain language for non-technical compliance stakeholders.
• Self-starter comfortable working across multiple teams and jurisdictions with minimal supervision.
• Attention to documentation, version control, and maintainability of solutions.

Desirable:

• Experience working in financial services compliance, legal, risk.
• Understanding of RegTech landscape and emerging compliance technology.
• Exposure to multi-jurisdictional regulatory frameworks (FCA, CySEC, ASIC, or equivalent).
• Experience evaluating and implementing third-party SaaS/AI tools.

AI Automation & Process Optimisation:

• Identify, design, and implement AI-driven solutions to automate compliance and operational workflows.
• Analyse existing processes across Compliance and Operations to identify inefficiencies and automation opportunities.
• Build and maintain tools (scripts, workflows, agents) to reduce manual workload and improve scalability.
• Support integration of AI tools into existing systems (e.g. CRM, case management, onboarding/KYC flows).
• Continuously evaluate new AI technologies and assess their applicability to business needs.

Data, Reporting & Analytics:

• Design and maintain dashboards to provide visibility on key compliance and operational metrics.
• Automate recurring reporting (regulatory, internal MI, operational KPIs).
• Work with structured and unstructured data to generate actionable insights.
• Improve data quality, accessibility, and consistency across teams.
• Support ad hoc data analysis requests from Compliance, Operations, and senior management.

Cross-Functional Collaboration:

• Partner with Compliance, Operations, Product, and Engineering teams to implement scalable solutions.
• Translate business problems into technical requirements and AI-driven solutions.
• Act as a bridge between non-technical stakeholders and technical implementation.
• Support business initiatives where automation or data-driven decision-making is required.

Governance & Risk Awareness:

• Ensure all AI and automation solutions align with regulatory requirements and internal policies.
• Maintain clear documentation of tools, processes, and decision logic.
• Support auditability and transparency of automated processes.
• Monitor performance and risks of deployed solutions and implement improvements where needed.

Continuous Improvement & Innovation:

• Proactively identify new use cases for AI across the business.
• Drive a culture of efficiency, automation, and data-driven thinking.
• Stay up to date with developments in AI, automation, and data tooling.
• Contribute to long-term strategy on how AI can enhance compliance and operations functions.

Our company has an Internal Reporting Procedure available from the Human Resources Department upon request. Violations may be reported under the terms specified therein.