Fraud & Data Analyst at Eazzy Tranzact

EazzyTranzact is a licensed and trusted Fintech business currently operating in Nigeria, the UK, Kenya and Canada, ensuring our operations adhere to the highest standards of compliance and professionalism. Our primary goal is to provide customers with a seamless and convenient way to send money globally. With a commitment to excellence, we have established ourselves as a reliable partner for both individuals and businesses seeking efficient remittance services. At EazzyTranzact, our goal is to make international remittances simple, reliable, and stress-free, whether for personal, family, or business purposes.

We are recruiting to fill the position below:

Job Title: Fraud & Data Analyst

Location: Lekki, Lagos
Employment Type: Full-time

Job Summary

• We are seeking a detail-oriented and analytical Fraud & Data Analyst to join our Risk Management team.
• The primary responsibility of this role is to identify, investigate, and mitigate fraudulent activities while leveraging data analysis to provide actionable insights.

Roles and Responsibilities

• Monitor and analyze transactions to detect suspicious activities and patterns indicative of fraud.
• Develop and implement fraud detection rules, models, and strategies.
• Investigate fraudulent activities, gather evidence, and take appropriate actions to mitigate risks.
• Collaborate with the compliance and legal teams to ensure regulatory requirements are met and adhered to.
• Prepare and present detailed reports on fraud trends, case investigations, and outcomes.
• Utilize data analysis tools to extract, analyze, and interpret data related to fraud detection and prevention.
• Identify key trends and insights from data to enhance fraud detection methodologies.
• Create and maintain dashboards and reports to track fraud metrics and KPIs.
• Develop predictive models and algorithms to proactively identify potential fraud.
• Work closely with other departments such as IT, Operations, and Customer Service to implement fraud prevention measures.
• Communicate findings and recommendations to senior management and other stakeholders.
• Provide training and support to staff on fraud detection techniques and best practices.
• Liaise with external partners, financial institutions, and law enforcement agencies on fraud-related matters.
• Stay updated with the latest fraud trends, technologies, and regulatory requirements.
• Recommend and implement enhancements to fraud detection systems and processes.
• Conduct regular audits and reviews of fraud detection measures to ensure effectiveness.
• Participate in risk assessments and contribute to the development of comprehensive risk management strategies.

Job Requirements

• Master's / Bachelor’s Degree in finance, Accounting, Statistics, Computer Science, or a related field. relevant certification is an added advantage.
• At least 5 years of experience in fraud detection, data analysis, or a similar role in the financial services or fintech industry.
• Proficiency in data analysis tools (e.g., SQL, Python, R), fraud detection software, and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Excellent written and verbal communication skills, with the ability to present findings clearly and concisely.
• High level of attention to detail and accuracy in all aspects of work.
• Strong sense of ethics and integrity in handling sensitive and confidential information.

Key Competencies:

• In-depth understanding of fraud schemes, detection methods, and prevention strategies.
• Proficient in data mining, statistical analysis, and predictive modeling.
• Ability to think critically and make data-driven decisions.
• Strong ability to work collaboratively with cross-functional teams and external partners.
• Commitment to staying current with industry trends, best practices, and technological advancements.

Application Closing Date
24th June, 2024.

Method of Application
Interested and qualified candidates should be addressed to the” HR Department” and must include a cover letter, CV and copies of all academic certificates in one document to: [email protected] using the "REF:0406" as the subject of the mail.

Note

• Applications received after this date and time will not be considered.
• Unsuitable applications will not be acknowledged.