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For Companies At a Glance
- Tasks: Analyse data to enhance financial crime compliance and support regulatory change.
- Company: Join a leading financial services firm in London with a hybrid work model.
- Benefits: Competitive day rate, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact on financial crime operations while developing your analytical skills.
- Qualifications: Experience in data analysis, SQL, and financial crime compliance is essential.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
The predicted salary is between 40000 - 60000 £ per year.
Location: London, UK (Hybrid – 2 days per week in office)
Day Rate: £467 per day (Inside IR35)
Duration: 6 months
The Role
We are seeking an experienced Finance Crime Compliance Data Analyst to support a high-profile regulatory change programme. This role will focus on delivering high-quality data analysis to support screening optimisation, process improvement, and tactical remediation across financial crime operations.
You will work closely with Compliance, Risk, Technology, and Operations teams to analyse screening effectiveness, model alert volumes, support automation initiatives, and provide actionable insights to strengthen financial crime frameworks and regulatory compliance.
Key Responsibilities
- Analyse and prioritise very-high, high, medium, and low-risk screening gaps, providing data-driven evidence to support tactical fixes.
- Provide data inputs into solution-agnostic, high-level functional and non-functional business requirements.
- Model and forecast alert volumes under revised processes, tactical changes, and organisational design.
- Perform detailed analysis of alert spike remediation activities, including alert decision playback.
- Support automation of daily Adverse Media screening through accurate data mapping and validation.
- Analyse existing screening investigation processes to identify inefficiencies and recommend data-led improvement opportunities.
- Develop metrics and KPIs to measure and monitor process optimisation success.
- Document current screening coverage and list management, identifying gaps and proposing enhancements.
Skills and Competencies
- Advanced analytical and problem-solving skills, with the ability to interpret complex datasets and generate actionable insights.
- Strong expertise in SQL, Excel, and data visualisation tools such as Power BI or Tableau.
- Ability to translate data insights into operational improvements and strategic recommendations.
- Strong understanding of financial crime screening processes and regulatory obligations.
- Excellent communication and stakeholder engagement skills, able to collaborate effectively across business and technical teams.
- Proven ability to manage competing priorities within a fast-paced, regulatory-driven environment.
- Proven experience as a Data Analyst within UK Financial Services, ideally within Life & Pensions.
- Strong knowledge of data structures, data quality frameworks, and management information reporting.
- Hands-on experience supporting financial crime compliance or regulatory change programmes.
- Demonstrated experience in MI reporting and dashboard development.
Data Analyst in City of London employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance crime compliance space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and data visualisation skills. Be ready to showcase how you've used these tools to solve real-world problems in financial crime compliance.
✨Tip Number 3
Don’t just wait for job postings; proactively reach out to companies you admire. Express your interest in their work and how your skills can help them tackle financial crime challenges.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and contributing to our mission.
We think you need these skills to ace Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Excel, and data visualisation tools like Power BI or Tableau. We want to see how your skills match up with what we're looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've tackled complex datasets and turned them into actionable insights. This will really help us see your problem-solving abilities in action.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Stott and May
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past roles, especially in relation to financial crime compliance.
✨Understand Financial Crime Processes
Familiarise yourself with financial crime screening processes and regulatory obligations. Being able to speak knowledgeably about these topics will show that you're not just a data analyst, but someone who understands the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Think of examples where you've identified inefficiencies or provided actionable insights, and be ready to explain your thought process.
✨Engage with Stakeholders
Since this role involves collaboration across various teams, practice how you'll communicate your findings and recommendations. Show that you can translate complex data into clear, actionable insights for different stakeholders.
