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- Tasks: Analyse large data sets to combat financial crime using SQL and advanced analytics.
- Company: Join a supportive UK-based team dedicated to making finance safer.
- Benefits: Enjoy a competitive salary, flexible hours, and fully remote work.
- Why this job: Make a real difference in preventing financial crime while developing your skills.
- Qualifications: Strong SQL skills and experience in financial crime analytics required.
- Other info: Work on impactful projects with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled Financial Crime Data Analyst with a strong command of SQL and experience working with large and complex data sets. The ideal candidate will have a deep understanding of financial crime frameworks, particularly Anti-Money Laundering (AML), Know Your Customer (KYC), and transaction monitoring analytics.
In this role, you will work remotely as part of a UK-based team, supporting financial crime investigations through data-driven insights and robust reporting. You will play a key role in helping to detect, prevent, and report financial crime, contributing to a safer and more compliant financial ecosystem.
Responsibilities:
- Write, optimize, and execute advanced SQL queries to extract and analyze large volumes of financial data.
- Conduct in-depth analysis of AML, KYC, and transaction monitoring data to identify patterns, trends, and anomalies.
- Translate complex datasets into actionable insights, visualizations, and compliance reports.
- Collaborate with cross-functional teams, including compliance, risk, and technology, to support ongoing investigations and initiatives.
- Ensure data integrity and adhere to data governance and regulatory standards.
- Support the development and enhancement of monitoring rules and models based on analytical findings.
Requirements:
- Proven expertise in SQL, including performance optimization and handling large-scale datasets.
- Background in financial crime analytics (AML, KYC, transaction monitoring, etc.).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to interpret regulatory requirements and apply them to data analysis.
- Familiarity with UK and international financial crime regulations and data governance best practices.
- Experience with data visualization tools (e.g., Power BI, Tableau) is a plus.
What We Offer:
- Fully remote role within a supportive UK-based team.
- Competitive salary and flexible working hours.
- Opportunity to work on high-impact projects in the financial crime domain.
UK - Financial Crime Data Analyst (SQL & Large data sets) in London employer: Capitex
Contact Detail:
Capitex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land UK - Financial Crime Data Analyst (SQL & Large data sets) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial crime sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your SQL skills! Consider creating a portfolio of projects or analyses you've done with large datasets. This will give potential employers a taste of what you can bring to the table, and we all know actions speak louder than words.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AML and KYC frameworks. We recommend practising common interview questions related to financial crime analytics so you can confidently showcase your expertise when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace UK - Financial Crime Data Analyst (SQL & Large data sets) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with large datasets. We want to see how your background in financial crime analytics aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about tackling financial crime and how your analytical skills can contribute to our mission. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to solve problems or uncover insights in previous roles. We’re looking for those 'aha!' moments that demonstrate your ability to analyse complex data sets effectively.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Capitex
✨Master Your SQL Skills
Make sure you brush up on your SQL knowledge before the interview. Be prepared to discuss your experience with writing and optimising complex queries, as well as handling large datasets. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Know Your Financial Crime Frameworks
Familiarise yourself with key concepts like Anti-Money Laundering (AML) and Know Your Customer (KYC). Be ready to discuss how you've applied these frameworks in your previous roles. Showing a solid understanding of these areas will demonstrate your expertise and commitment to the field.
✨Prepare for Data Analysis Questions
Expect questions that test your analytical skills. Think about past experiences where you identified patterns or anomalies in data. Be ready to explain your approach to translating complex datasets into actionable insights and how you ensure data integrity in your analyses.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've collaborated with others in the past. Highlight your communication skills and how you’ve contributed to team projects, especially in the context of financial crime investigations.
