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- Tasks: Analyse complex data sets to detect financial crime patterns and collaborate on prevention strategies.
- Company: Capgemini is a global leader in business and technology transformation, driving digital and sustainable change.
- Benefits: Enjoy a collaborative work environment, opportunities for growth, and the chance to make a real impact.
- Why this job: Join a mission-driven team tackling financial fraud while developing your analytical skills in a supportive culture.
- Qualifications: Bachelor's degree in Data Analytics or related field; 3-5 years experience in financial crime analysis required.
- Other info: Proficiency in SQL, Python, and data visualisation tools like Tableau is essential.
The predicted salary is between 28800 - 48000 £ per year.
Get The Future You Want! 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.
- Data Analysis: Analyze transactions, accounts, customer data, and alerts to identify suspicious patterns and potential risks.
- Model Development: Design and implement financial crime detection models and scenarios using statistical and analytical tools.
- Reporting: Generate detailed reports and visualizations to communicate findings to stakeholders and support decision-making processes.
- Root Cause Analysis: Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies.
- Collaboration: Work closely with investigators, compliance teams, and other departments to translate data-driven insights into actionable recommendations.
- Data Management: Ensure the accuracy, integrity, and security of data used for analysis and reporting.
Your Profile:
- Bachelor's degree in Data Analytics, Statistics, Finance, or a related field. Advanced degree preferred.
- Proven experience in the financial crimes/AML space, with a minimum of 3-5 years in data analysis roles.
- Proficiency in data analytics tools such as SQL, Python, R, and SAS.
- Experience with data visualization tools like Tableau.
- Strong understanding of AML/KYC regulations and practices.
- Excellent analytical and problem-solving skills, with the ability to interpret complex data sets.
- Strong communication skills, with the ability to translate complex data into actionable insights.
- Experience working in a major financial institution or consulting firm.
- 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.
Data Analyst - Financial Crime employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Financial Crime
✨Tip Number 1
Familiarise yourself with the latest trends in financial crime and anti-money laundering (AML) regulations. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your data analytics skills, particularly in SQL, Python, and R. Consider working on personal projects or contributing to open-source projects that showcase your ability to analyse complex data sets relevant to financial crime.
✨Tip Number 3
Network with professionals in the financial crime sector. Attend industry conferences, webinars, or local meetups to connect with others in the field. This can lead to valuable insights and potential referrals for job openings.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to solve problems in previous roles. Be ready to explain your thought process and the impact of your findings, as this will demonstrate your analytical skills and problem-solving abilities.
We think you need these skills to ace Data Analyst - Financial Crime
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in the financial crime or AML space. Use specific examples that demonstrate your proficiency with tools like SQL, Python, and Tableau.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for combating financial crime. Mention how your skills can contribute to Capgemini's mission of building a more sustainable and inclusive world.
Showcase Analytical Skills: In your application, provide examples of how you've successfully analysed complex data sets in previous roles. Highlight any models or strategies you developed that led to significant outcomes in detecting financial fraud.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, emphasise your experience collaborating with investigators and compliance teams. Share specific instances where your insights led to actionable recommendations.
How to prepare for a job interview at Capgemini
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've analysed complex data sets in the past. Highlight your experience with tools like SQL, Python, or R, and be ready to explain your thought process when identifying patterns or anomalies.
✨Understand Financial Crime Regulations
Familiarise yourself with AML/KYC regulations and practices. During the interview, demonstrate your knowledge of these regulations and how they relate to the role, as this will show your commitment to compliance and risk management.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and model development. Brush up on statistical methods and be ready to discuss how you would design financial crime detection models, as well as any relevant projects you've worked on.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data insights in a straightforward manner, as you'll need to translate your findings into actionable recommendations for stakeholders.
