Fraud & Financial Crime Analyst (Hybrid)

Kroo Bank; Manchester; Hybrid; GBP 35,000 - 52,000; Full time

Benefits offered by this job

Generous holidays

Personal days

Volunteer program

Mental health support

Pension with company contribution

MacBook and home-office setup support

Modern Manchester office + London head

Cycle to Work

Electric Car scheme

Enhanced parental leave

Opportunities for growth

Comprehensive health cover

Job summary

Kroo Bank is hiring a Fraud Analyst to join the First Line Financial Crime Operations team in Manchester. You will monitor and investigate potential fraud, apply detection methodologies, and support regulatory compliance.

The role offers a hybrid work model with a focus on proactive analytics and cross-team collaboration. Ideal candidates have experience in fraud detection, strong data analysis skills, and proficiency with Excel and fraud software.

Qualifications

• Proven experience as a Fraud Analyst or in a similar role.
• Knowledge of fraud detection methodologies, tools, and technologies.
• Familiarity with banking regulations and compliance requirements related to fraud prevention.
• Proficiency in using fraud detection software, data analysis tools, and advanced Excel functions.

Responsibilities

• Support the day-to-day operations of the First Line Financial Crime Operations function.
• Identify patterns, trends and anomalies in large datasets to detect potential fraud.
• Collaborate with cross-functional teams to enhance fraud detection measures and respond to incidents.

Skills

Fraud detection

Data analysis

Excel advanced

Regulatory compliance

Independent work

Communication

Analytical mindset

Team collaboration

Fraud software

Job description

Kroo Bank is hiring a Fraud Analyst to join the First Line Financial Crime Operations team in Manchester. You will monitor and investigate potential fraud, apply detection methodologies, and support regulatory compliance.

The role offers a hybrid work model with a focus on proactive analytics and cross-team collaboration. Ideal candidates have experience in fraud detection, strong data analysis skills, and proficiency with Excel and fraud software.