Fraud Prevention investigator

Shadowfax Technologies; Chennai District, Bengaluru; On-site; INR 350,000 - 520,000; Full time

Job summary

Shadowfax Technologies in Chennai requires a Fraud Analyst to dissect fraudulent activities, identify patterns, and support risk mitigation strategies.

The role involves collaborating with cross-functional teams to investigate incidents, gather evidence, and provide recommendations for improvement with a focus on analytics and AML principles.

The candidate should possess strong data analysis skills and excellent communication to present findings to stakeholders.

Qualifications

• 0–1 year of experience in fraud investigation or related fields (auditing, finance).
• Strong knowledge of fraud analytics, fraud management, and anti-money laundering principles.
• Ability to analyze complex data sets using statistical tools and techniques.
• Excellent communication skills with ability to present findings effectively.

Responsibilities

• Conduct thorough analysis of fraudulent activities to identify trends, patterns, and root causes.
• Develop and implement effective strategies to prevent future occurrences of fraud.
• Collaborate with cross-functional teams to investigate incidents, gather evidence, and develop recommendations for improvement.
• Provide expert guidance on fraud risk assessment, mitigation, and control measures.

Skills

Fraud analytics

Fraud risk assessment

Data analysis

Anti-money laundering

Communication skills

Job description

Roles and Responsibilities :

• Conduct thorough analysis of fraudulent activities to identify trends, patterns, and root causes.
• Develop and implement effective strategies to prevent future occurrences of fraud.
• Collaborate with cross-functional teams to investigate incidents, gather evidence, and develop recommendations for improvement.
• Provide expert guidance on fraud risk assessment, mitigation, and control measures.

Job Requirements :

• 0-1 years of experience in fraud investigation or related field (e.g., auditing, finance).
• Strong understanding of fraud analytics, fraud management, and anti-money laundering principles.
• Ability to analyze complex data sets using statistical tools and techniques.
• Excellent communication skills with ability to present findings effectively.