Data analyst in regulatory compliance

About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We’ve built a strong foundation, have over £2 billion invested, award-winning service, and a passionate team, now we’re ready to scale. Role Overview As an Analyst, you will play a key role within the Analytics team, initially focused on data governance and compliance — spanning topics such as Consumer Duty, CASS, KYC/AML and data protection — with the expectation of broadening into general analytics support across the business over time.

• Support the design and rollout of a data governance framework: data ownership, definitions, lineage and retention policies.
• Partner with Compliance, Risk and Legal stakeholders to translate regulatory requirements (e.g. Consumer Duty, CASS, KYC/AML, GDPR) into concrete data controls, monitoring and reporting.
• Maintain and evolve the analytics glossary, data catalogue and semantic layer so compliance-related metrics are clearly defined, consistent and auditable.
• Support internal and external audit requests with well-documented, reproducible analysis.
• Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices.
• Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls.
• Use AI-enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails.
• Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant.
• Default to automating and simplifying: question manual, spreadsheet-driven or one-off processes rather than just repeating them.
• Propose new tools, architectures, or ways of working where the current setup is holding the team back — this role is expected to shape the analytics function's approach, not just operate within it.
• Bring an engineering-influenced approach to analytics work: reusable, testable, version-controlled, rather than one-off scripts or manual spreadsheets.
• Build and maintain dashboards and reports using modern BI tools.
• Ensure metrics are correctly defined, documented, and consistent with the data catalogue and semantic layer.
• As the role broadens, support wider analytics team with ad hoc analysis outside governance and compliance.
• Work with the Chief Data Officer to ensure data accuracy, reconciliation and quality.
• Contribute to data documentation, definitions and the analytics glossary.
• Raise data quality issues and support root-cause analysis.
• Work closely with business and compliance stakeholders to understand requirements and analytical needs.
• Clearly communicate insights and findings in a structured, accessible way.
• Support decision-making by translating complex analysis and regulatory detail into clear narratives.

• Experience in a Data Analyst, Business Analyst, Compliance Analyst or similar role.
• Strong SQL skills; hands-on experience with dbt, or a strong aptitude and willingness to learn modern transformation tooling quickly.
• An engineering mindset — a demonstrated habit of automating, simplifying, or redesigning a manual process rather than living with it, even where that means suggesting a new tool or way of working.
• Experience or strong interest in using AI tools to enhance analytical workflows — e.g. AI-assisted coding, prompt engineering, automation of repetitive tasks.
• Comfortable with version control (git) and other modern, engineering-influenced ways of working.
• Strong analytical thinking and problem-solving ability.
• Clear written and verbal communication skills, including with non-technical, compliance-focused stakeholders.
• Confidence to challenge the status quo and propose alternatives, backed by data and sound reasoning.
• Будет плюсом: Familiarity with data governance and one or more relevant regulatory/compliance topics (e.g. Consumer Duty, CASS, KYC/AML, GDPR, Market Abuse Regulation, data retention) is desirable; Experience with modern BI tools (e.g. Metabase, Lightdash, Omni, Looker); Experience in fintech or financial services is desirable but not essential

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