Data Analyst

Financial Crime Unit – Data Analyst

Employer: Computershare
Job ID: 12558
Job Category: Governance
Location: Bristol or Edinburgh, United Kingdom
Working Arrangement: Hybrid
Job Type: Full-time
Application Deadline: 27 August 2026

Job Overview

Computershare is hiring a Financial Crime Data Analyst to join its Global Information Security (GIS) function as part of the Global Financial Crime Unit (FCU).

This is an opportunity for an experienced data analyst with knowledge of fraud, anti-money laundering (AML), financial crime investigations and data analytics to contribute to the detection, investigation and prevention of financial crime.

Location and Hybrid Working

The role is available from either:

• Bristol, United Kingdom
• Edinburgh, United Kingdom

Employees are expected to work from the relevant office at least three days per week, with flexibility to work from home for part of the working week.

About the Financial Crime Unit

Computershare’s Global Financial Crime Unit provides advice, guidance and support to its businesses to help prevent and identify internal and external fraudulent activity.

The team conducts investigations, undertakes detective controls, monitors indicators of fraudulent activity and provides assurance over the company’s fraud control environment.

About the Financial Crime Data Analyst Role

The Financial Crime Data Analyst will play an important role in detecting, investigating, analysing and preventing financial crime through data analytics, reporting and actionable insights.

The position reports directly to the Head of Investigations, Financial Crime Unit, with a principal focus on investigative projects.

Key Responsibilities

• Collect, clean and analyse large datasets.
• Identify suspicious patterns, trends and anomalies.
• Support fraud detection and monitoring activities.
• Analyse data to support financial crime investigations.
• Provide data-driven insights into fraud and money laundering.
• Work with compliance officers to understand regulatory requirements.
• Support adherence to relevant financial crime regulations.
• Contribute to financial crime prevention strategies.
• Build and refine statistical models.
• Develop machine learning tools to identify unusual activity.
• Create reporting and presentation tools to demonstrate fraudulent activity.
• Present findings to senior management, regulators and internal stakeholders.
• Work closely with IT, Legal, Compliance and other business teams.

Essential Skills and Experience

Applicants should have strong analytical abilities, excellent attention to detail and a good understanding of financial crime typologies.

Key technical skills include:

• SQL
• Python
• Data analysis tools
• Power BI
• Tableau or similar visualisation platforms

Experience and knowledge in fraud investigations, financial crime investigations, AML, fraud detection and financial crime typologies are also important.

Financial Crime Investigation Experience

Experience conducting fraud or financial crime investigations in a first-line or second-line role is required.

Relevant backgrounds may include:

• Financial services
• Legal services
• Law enforcement
• Financial crime compliance
• Fraud prevention and investigation

Educational Requirements

A Bachelor’s degree in one of the following areas, or a related discipline, is expected:

• Data Science
• Statistics
• Finance
• Economics
• Related field

Experience working within an investment environment would be advantageous but is not essential.

Additional Skills

The successful candidate should demonstrate:

• Strong problem-solving ability
• Excellent critical-thinking skills
• Strong analytical skills
• High attention to detail
• Excellent written communication
• Strong verbal communication
• Negotiation and influencing skills
• Ability to challenge existing processes constructively
• Ability to recommend improvements
• Ability to work with multiple stakeholders
• Ability to communicate complex findings clearly
• Up-to-date knowledge of fraud trends and financial crime legislation

Communication and Stakeholder Management

The role involves working with colleagues around the world.

The successful candidate may be required to attend meetings outside standard working hours, depending on international time zones.

Flexibility is therefore essential.

Employee Rewards and Benefits

Computershare offers a range of rewards designed to support employees professionally and personally.

Flexible Working: Hybrid working designed to support work-life balance.

Health and Wellbeing: Rewards that can be tailored to support employees and their families.

Employee Share Investment: Employees can set aside salary to purchase company shares and receive a company contribution.

Additional Rewards: Recognition awards, team events and other opportunities designed to support employees and their future.

About Computershare

Computershare is a global leader in financial administration with more than 11,000 employees across over 22 countries.

The company promotes an open and inclusive culture designed to help employees grow, develop and take advantage of opportunities across the organisation.

Equality, Inclusion and Accessibility

Computershare aims to provide equal opportunities throughout its recruitment process and employment.

The company works to remove barriers and provide appropriate support for candidates who require accommodations or adjustments during recruitment.

About the Team

The position is part of Computershare’s Shared Services environment, which supports business lines around the world.

Shared Services includes specialist teams covering:

• Technology
• Information Security
• Finance
• Risk
• Audit
• Governance
• Marketing and Communications
• People services

Ideal Candidate Profile

This role may be particularly suitable for professionals with experience combining:

Data Analytics + Financial Crime + Fraud Investigation + AML + SQL/Python + Power BI/Tableau

Candidates who can combine technical data-analysis capabilities with practical financial crime investigation experience may be well suited to the position.

Job Details at a Glance

Application Deadline

Applications close on 27 August 2026 at 10:49 AM.

Candidates are encouraged to submit their applications before the stated deadline.

How to Apply

Interested candidates should apply through the official Computershare Careers recruitment portal.

Search for Job ID 12558 – Financial Crime Unit – Data Analyst and follow the application instructions.

Apply Now

Job ID: 12558
Location: Bristol or Edinburgh
Working Arrangement: Hybrid
Employment: Full-time
Application Deadline: 27 August 2026

Important Note

Job availability, requirements, closing dates and application procedures may change. Candidates should verify the latest vacancy information on the employer’s official recruitment portal before applying.