Data Analyst - Financial Crime

JR United Kingdom; Glasgow; On-site; EUR 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst specializing in Financial Crime to join their dynamic team. This exciting role involves analyzing complex data sets to identify suspicious patterns and trends in financial transactions, thereby preventing fraud and illicit activities. You will collaborate with cross-functional teams to develop data-driven strategies and generate insightful reports for stakeholders. If you have a passion for data analysis and a strong background in financial crime prevention, this opportunity offers a chance to make a significant impact in a collaborative environment focused on innovation and sustainability.

Qualifications

• 3-5 years of experience in data analysis roles, particularly in financial crimes.
• Strong understanding of AML/KYC regulations and practices.

Responsibilities

• Analyze complex data sets to identify patterns related to financial crime.
• Design and implement financial crime detection models using analytical tools.

Skills

Data Analysis

Analytical Skills

Problem-Solving

Communication Skills

Education

Bachelor's degree in Data Analytics

Advanced degree in related field

Tools

SQL

Python

R

SAS

Tableau

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

The Data Analyst - Financial Crime will be responsible for analyzing complex data sets to identify patterns, trends, and anomalies related to financial crime. This role involves collaborating with cross-functional teams to develop and implement data-driven strategies for detecting and preventing financial fraud and other illicit activities.

1. Data Analysis: Analyze transactions, accounts, customer data, and alerts to identify suspicious patterns and potential risks.
2. Model Development: Design and implement financial crime detection models and scenarios using statistical and analytical tools.
3. Reporting: Generate detailed reports and visualizations to communicate findings to stakeholders and support decision-making processes.
4. Root Cause Analysis: Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.
5. Collaboration: Work closely with investigators, compliance teams, and other departments to translate data-driven insights into actionable recommendations.
6. Data Management: Ensure the accuracy, integrity, and security of data used for analysis and reporting.

Your Profile:

1. Bachelor's degree in Data Analytics, Statistics, Finance, or a related field.
2. Advanced degree preferred.
3. Proven experience in the financial crimes/AML space, with a minimum of 3-5 years in data analysis roles.
4. Proficiency in data analytics tools such as SQL, Python, R, and SAS.
5. Experience with data visualization tools like Tableau.
6. Strong understanding of AML/KYC regulations and practices.
7. Excellent analytical and problem-solving skills, with the ability to interpret complex data sets.
8. Strong communication skills, with the ability to translate complex data into actionable insights.
9. Experience working in a major financial institution or consulting firm.
10. Certification in financial crime prevention or related areas.

About Capgemini:

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.