

FinTech People
Fraud Data Analyst - SQL / Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fraud Data Analyst with 12-month fixed-term contract, paying £60-70,000. Requires fraud experience, strong SQL skills, and proficiency in data extraction and analysis. On-site in London, 3 days per week. Python and Tableau experience advantageous.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
318
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🗓️ - Date
February 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Datasets #"ETL (Extract #Transform #Load)" #Python #Security #Tableau #Data Visualisation #SQL (Structured Query Language) #Strategy #Data Extraction #Data Analysis #Monitoring
Role description
Fraud Data Analyst - Fast Growing FinTech 🚀
Exciting role with lots of development opportunity!
Applicants must have Fraud experience be skilled in data extraction and analysis using SQL
12 Month Fixed Term Contract - 3 days per week in London office.
£60-70,000 plus benefits.
A fast‑growing FinTech organisation is looking for an experienced Data Analytics Specialist for a 12‑month contract. This is an exciting opportunity to take a leading role in strengthening fraud‑prevention capabilities and helping shape risk strategy across the business.Working closely with senior stakeholders across the organisation, you’ll use data‑driven insights to support business decisions, investigate fraud patterns and ensure proactive monitoring of emerging risks.
Duties include:
• Analyse user and behavioural data to spot emerging fraud patterns
• Build and enhance dashboards that bring fraud trends and KPIs to life for key stakeholders
• Investigate fraud incidents and translate findings into clear, actionable recommendations
• Partner with Risk, Security, and Product teams to drive fraud‑prevention initiatives
• Stay ahead of industry fraud trends, tools and techniques to support strategic decision‑making
Essential experience:
• Experience in a fraud / financial crime data analytics role in financial services / fintech
• Experience analysing large datasets
• Strong SQL skills for querying data
• Experience of Python - advantageous
• Experience using data visualisation / reporting tools e.g. Tableau
• Understanding of statistical methods and how to apply them to real-world fraud problems
Fraud Data Analyst - Fast Growing FinTech 🚀
Exciting role with lots of development opportunity!
Applicants must have Fraud experience be skilled in data extraction and analysis using SQL
12 Month Fixed Term Contract - 3 days per week in London office.
£60-70,000 plus benefits.
A fast‑growing FinTech organisation is looking for an experienced Data Analytics Specialist for a 12‑month contract. This is an exciting opportunity to take a leading role in strengthening fraud‑prevention capabilities and helping shape risk strategy across the business.Working closely with senior stakeholders across the organisation, you’ll use data‑driven insights to support business decisions, investigate fraud patterns and ensure proactive monitoring of emerging risks.
Duties include:
• Analyse user and behavioural data to spot emerging fraud patterns
• Build and enhance dashboards that bring fraud trends and KPIs to life for key stakeholders
• Investigate fraud incidents and translate findings into clear, actionable recommendations
• Partner with Risk, Security, and Product teams to drive fraud‑prevention initiatives
• Stay ahead of industry fraud trends, tools and techniques to support strategic decision‑making
Essential experience:
• Experience in a fraud / financial crime data analytics role in financial services / fintech
• Experience analysing large datasets
• Strong SQL skills for querying data
• Experience of Python - advantageous
• Experience using data visualisation / reporting tools e.g. Tableau
• Understanding of statistical methods and how to apply them to real-world fraud problems






