Fraud Analytics Specialist (6-Month Contract, Hybrid)

Data Freelance Hub; Greater London; Hybrid; GBP 50,000 - GBP 70,000; Full time

Job summary

A leading financial services firm in London is seeking an experienced Fraud Data Analyst for a 6-month contract. The role involves creating fraud dashboards, conducting analysis to mitigate fraud risks, and monitoring user registration trends. The ideal candidate will have several years of experience in data analysis within financial services, proficiency in SQL, and familiarity with data visualization tools like Tableau. This is a hybrid position that offers flexibility and a user-centric approach to fraud prevention.

Qualifications

• Several years experience in a data analytical role focusing on fraud in financial services.
• Aptitude and passion for statistics or mathematics.
• Experience with data analysis and statistical methods.
• Proficiency in SQL, especially within cloud data warehouses.
• Knowledge of reporting and visualization tools.
• Ability to work independently in a matrix organization.
• Commercial awareness regarding credit products.

Responsibilities

• Create and monitor fraud dashboards.
• Conduct detailed analysis for fraud mitigation measures.
• Identify and support fraud incident mitigation.
• Monitor new user registration data for trends.
• Attend internal fraud meetings to shape strategy.
• Monitor industry fraud trends.

Skills

Fraud analysis

SQL proficiency

Statistics

Data visualization

Commercial awareness

Education

Degree in STEM or Economics

Tools

Excel

Domo

Tableau

Python

Job description

A leading financial services firm in London is seeking an experienced Fraud Data Analyst for a 6-month contract. The role involves creating fraud dashboards, conducting analysis to mitigate fraud risks, and monitoring user registration trends. The ideal candidate will have several years of experience in data analysis within financial services, proficiency in SQL, and familiarity with data visualization tools like Tableau. This is a hybrid position that offers flexibility and a user-centric approach to fraud prevention.