Data Analyst - Regulatory Intelligence

Overview
At Cybernetic Controls Limited (CCL), we are committed to global leadership in providing innovative digital solutions that empower businesses to reach their full potential. As a remote-first company, we believe in empowering our employees to work in a way that best suits their individual needs, fostering a culture of flexibility and trust. Since our founding in 2020, we have successfully delivered high-quality resources to our clients in the FinTech sector across various business areas. Read more on the Cybernetic Controls website.

Our Client | Single Rulebook
Single Rulebook is an AI‑powered regulatory intelligence platform for financial services. It automatically identifies, categorises, and maps regulatory changes across jurisdictions so compliance teams see only what’s relevant to their business, not a flood of noise. By filtering out up to 80% of irrelevant updates and maintaining a full audit trail from signal to response, the platform helps firms stay ahead of change while reducing operational risk and manual effort.

The product brings together primary regulatory texts, technical standards, guidance, and exchange rulebooks and applies AI across the pipeline: intelligent classification to a domain taxonomy, change detection and significance scoring, semantic search and cross‑border rule mapping. Interactive rule maps and contextual connections show the ripple effects of changes across business lines and jurisdictions, while delivery management tools drive timely, accountable action and evidence for regulators

Regulatory and exchange rules change all the time. When important updates slip through, firms waste weeks on rework and carry real risk. Single Rulebook cuts the noise so teams see only the few changes that actually affect their products and venues, shows exactly what changed and why it matters, connects related obligations across markets, and records how you responded. The result is fewer surprises, faster decisions, and confident answers when regulators or senior management ask, “What did we do about this?”       

Single Rulebook is a Kaizen's company. Kaizen is a leading RegTech firm that helps financial institutions meet complex reporting and compliance obligations with accuracy and assurance. Founded by industry experts, Kaizen delivers quality assurance solutions for EMIR, MiFIR and SFTR transaction reporting, alongside regulatory intelligence platforms such as Single Rulebook. Their mission is to reduce regulatory risk and operational burden through automated, data‑driven tools that improve accuracy, transparency and auditability. Kaizen’s clients include major banks and asset managers globally, who rely on the company’s blend of advanced technology and deep regulatory expertise to keep pace with an ever‑changing regulatory landscape.

Job Summary:
You will be the first line of quality for our regulatory data, with an initial focus on QA and review of external ML outputs from our primary vendor. You’ll investigate correlations and behaviours across large datasets, form hypotheses about data quality and user impact, validate with data tooling, and drive issues through a structured rectification workflow with both internal teams and vendors. You’ll also help design and scale our own data review methodologies, combining human-in-the-loop (HITL) review with bulk/automated checks.

You will operate in two modes: proactive sweeps across our datasets and rapid response to internal and external data quality queries—turning ambiguous “help plz” requests into clear findings, evidence, and rectification actions.