Senior Data Analyst: Fraud Risk & FinCrime

Wise; Greater London; On-site; GBP 60,000 - 75,000; Full time

Job summary

A leading financial technology company based in the United Kingdom is seeking a Senior Data Analyst to drive risk analytics for financial crime risk management. This pivotal role involves creating dashboards, leading risk initiatives, and collaborating with financial crime risk managers. Candidates should possess advanced quantitative analysis skills and a solid understanding of financial crime frameworks. Join us to make a meaningful impact in the financial services industry, fostering a transparent and inclusive environment.

Benefits

Diverse and inclusive work environment

Opportunity for professional development

Competitive salary

Qualifications

• Advanced analytical skills with a focus on quantitative and qualitative assessments.
• Strong understanding of financial crime and risk management frameworks.
• Ability to collaborate with various stakeholders including Compliance and Risk Managers.

Responsibilities

• Design and maintain dashboards for Key Risk Indicators (KRIs).
• Lead risk initiatives and develop metrics for proactive risk management.
• Collaborate with risk stakeholders to implement risk strategies.

Skills

Quantitative analysis

Financial crime risk management

Data visualization

Risk assessment frameworks

Education

Relevant degree in Mathematics, Finance, or Data Science

Tools

Dashboard software

Statistical analysis tools (e.g., R, Python)

Job description

A leading financial technology company based in the United Kingdom is seeking a Senior Data Analyst to drive risk analytics for financial crime risk management. This pivotal role involves creating dashboards, leading risk initiatives, and collaborating with financial crime risk managers. Candidates should possess advanced quantitative analysis skills and a solid understanding of financial crime frameworks. Join us to make a meaningful impact in the financial services industry, fostering a transparent and inclusive environment.