Financial Crime Data Analyst - AI-Driven Analytics

Cerebras; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services provider in London is seeking a Financial Crime Data Analyst to enhance their data analytics capabilities. This role involves establishing a data-driven approach to combat financial crime, designing data pipelines, and working closely with operational teams. The ideal candidate will have experience in data science, strong SQL skills, and proficiency in data visualization tools. This position offers opportunities for personal growth and a comprehensive benefits package.

Benefits

30 days annual leave

4 wellbeing days per year

Private Healthcare

Pension

Life Insurance

Enhanced Parental Leave policy

Qualifications

• Extensive experience in data science or data analytics within financial crime.
• Strong skills in SQL and BigQuery for complex data manipulation.
• Hands-on experience with Python for data analysis.
• Ability to create compelling data visualizations and dashboards.
• Experience in building data pipelines with engineering teams.

Responsibilities

• Own the Financial Crime Operations team's data needs from extraction to storage.
• Proactively analyze complex datasets for fraud detection and trends.
• Lead transition to scalable data processes.
• Prepare datasets for AI model usage.
• Build insightful dashboards and reporting.

Skills

Data analysis

SQL

BigQuery

Python

Data visualization

Problem-solving

Communication

Tools

Looker

Job description

A leading financial services provider in London is seeking a Financial Crime Data Analyst to enhance their data analytics capabilities. This role involves establishing a data-driven approach to combat financial crime, designing data pipelines, and working closely with operational teams. The ideal candidate will have experience in data science, strong SQL skills, and proficiency in data visualization tools. This position offers opportunities for personal growth and a comprehensive benefits package.