Data Analyst

Role overview

We are looking for a detail-oriented data analyst to support the integrity and accuracy of regulatory datasets — including Sanctions and PEP lists. You will work at the intersection of data quality, AI/ML validation, and compliance operations to ensure our regulatory data is complete, timely, and fit for purpose.

Responsibilities

· Regulatory monitoring — Continuously track authoritative data sources for new or updated listings across Sanctions, PEP, and related regulatory categories.

· AI/ML output validation — Verify, validate, and quality-assure data generated through AI and ML pipelines to ensure correctness and completeness.

· Manual data construction — Source and build structured datasets from unstructured inputs where automated methods are insufficient.

· Data structuring support — Assist in implementing solutions that convert unstructured content into structured, usable information.

· Testing & QA — Design test cases and scenarios for new features; execute release-cycle testing and document outcomes.

· Change tracking — Monitor structural changes to data and maintain awareness of events that may impact data integrity, products, or customers.

· Bug & fix management — Track change requests and bug fixes through to resolution, ensuring full implementation.

· Periodic controls — Execute scheduled reviews and controls in line with defined processes and SLAs.

· MI & reporting automation — Maintain management information on schedule and support automation of MI and reporting workflows.

· Weekly status reports — Publish regular activity reports covering the status of each regulatory list under responsibility.

· Daily task reporting — Provide concise daily updates on task progress and blockers.

· Ad-hoc team support — Flex into team needs as required, including cross-functional assistance during peak periods.

Qualifications

Education & experience

· Bachelor's degree or above (minimum requirement)

· 2 to 3 years of experience in data operations, compliance data, or a related analytical role

Must-have skills

· Strong proficiency in MS Excel for data analysis and reporting

· Ability to interpret unstructured data and convert it into structured, usable formats

· Good-to-have skills

· Understanding of watchlist screening processes and compliance data workflows

· Familiarity with Python libraries — NumPy, Pandas — and working with data frames