

Stott and May
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Finance Crime Compliance Data Analyst in London, UK, offering £467/day for 6 months. Key skills include SQL, Excel, and data visualisation tools. Experience in UK Financial Services and financial crime compliance is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
467
-
🗓️ - Date
January 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Automation #Compliance #Data Quality #Datasets #Data Analysis #Data Visualisation #SQL (Structured Query Language) #Data Mapping #Microsoft Power BI #Tableau #BI (Business Intelligence)
Role description
Job Title: Finance Crime Compliance Data Analyst
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.
Job Title: Finance Crime Compliance Data Analyst
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.






