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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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance crime compliance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Data Analyst role.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and data visualisation skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your analytical approach and insights.
✨Tip Number 3
Showcase your problem-solving skills! When you get the chance, share examples of how you've tackled complex datasets or improved processes in past roles. We want to see your analytical prowess in action!
✨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 Data Analyst in 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 any 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. We love a good story about problem-solving!
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 straightforward communication, especially in a fast-paced environment like ours.
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, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Stott and May
✨Know Your Data Tools
Make sure you're well-versed in SQL, Excel, and data visualisation tools like Power BI or Tableau. Brush up on your skills and be ready to discuss how you've used these tools in past roles to analyse complex datasets and generate actionable insights.
✨Understand Financial Crime Compliance
Familiarise yourself with financial crime screening processes and regulatory obligations. Be prepared to discuss your experience in this area and how you can contribute to improving compliance frameworks and processes.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of specific examples where you've identified inefficiencies in data processes and how you proposed data-led improvements. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Engage with Stakeholders
Highlight your communication skills and ability to collaborate across teams. Prepare examples of how you've effectively engaged with stakeholders in previous roles, especially in fast-paced environments. This will show your potential employer that you can navigate complex team dynamics.
