Data Analyst

Computershare UK

Financial Crime Data Analyst role at Computershare detecting and preventing financial crime using data analytics and insights. Collaborating with various teams to strengthen financial crime controls.

Posted 8/3/2026full-timeBristol • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and financial crime prevention, utilizing SQL, Python, and data visualization tools to identify suspicious patterns and support investigations. Strong understanding of AML regulations and financial crime typologies, combined with excellent communication and negotiation skills.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyData Visualization (Power BI, Tableau)Financial Crime Investigation ExperienceAML Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingMachine LearningFraud DetectionData CleaningData InsightsFinancial Crime TypologiesRegulatory ComplianceInvestigative ReportingData Collection

Soft Skills

Analytical SkillsAttention to DetailWritten CommunicationVerbal CommunicationNegotiation Skills

Tools & Technologies

Power BITableauData Analysis Tools

Industry Keywords

Financial CrimeFraudAMLComplianceFinancial Services

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Play a critical role in detecting, investigating, analyzing and preventing financial crime by leveraging data analytics, reporting, and insights.
Report directly into the Head of Investigations FCU and will principally work on investigative projects.
Collaborate with the wider FCU function as required, and closely with IT, legal, and compliance teams to strengthen financial crime controls.
Analyze data from several sources as it relates to reactive and proactive investigations.
Provide data-driven insights to support investigations into fraud and money laundering.
Collect, clean, and analyze large datasets to identify suspicious patterns and anomalies.
Support fraud detection and monitoring.
Collaborate with compliance officers to assess regulatory requirements and ensure adherence.
Assist in the development of financial crime prevention strategies.
Build and refine statistical models and machine learning tools to detect unusual activity, as well as presentation tools to demonstrate fraudulent activity.
Present findings to senior management, regulators, and internal stakeholders.

Requirements

What you’ll need

Strong analytical skills and attention to detail.
Deep understanding of financial crime typologies.
Proficiency in SQL, Python, or other data analysis tools.
Experience of fraud/financial crime investigations in either a first- or second-line role in financial services, legal or law enforcement sectors.
Knowledge of data visualization platforms (Power BI, Tableau, or similar) is essential.
Knowledge of AML, fraud detection, and financial crime typologies.
Bachelor's degree in Data Science, Statistics, Finance, Economics, or related field.
Confidence to challenge existing ways of working to improve the overall approach.
Excellent written and strong verbal skills.
Negotiation and influencing skills are required to ensure that the business engages in investigations and discussions around remediating actions.

Benefits

Comp & perks

Flexible work to help you find the best balance between work and lifestyle.
Health and wellbeing rewards that can be tailored to support you and your family.
Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.
Extra rewards ranging from recognition awards and team get-togethers to helping you invest in your future.
A welcoming and close-knit community, with experienced colleagues ready to help you grow.