Temitope Olowosuyi

Fraud Analyst

LinkedIn | Email | Phone

[email protected]

08107304148

Lagos, NG

About

Highly analytical and results-driven Fraud Analyst with a proven track record in financial crime prevention and risk mitigation. Expert in leveraging data-driven insights and advanced analytical tools to identify complex fraud patterns and implement robust prevention strategies. Successfully achieved a 20% reduction in fraudulent transactions through innovative prevention strategies. Adept at cross-functional collaboration, enhancing operational efficiency, ensuring regulatory compliance, and safeguarding organizational assets. Eager to apply strong analytical capabilities and commitment to integrity in a dynamic fraud prevention environment.

Work Experience

Fraud Analyst

eTranzact International PLC

Aug 2023 - Present

eTranzact International PLC is Nigeria's leading payment processing platform, providing comprehensive electronic payment solutions across multiple African countries. The company focuses on driving financial inclusion and convenience through secure, efficient, and innovative payment services.

  • Strengthened fraud prevention measures by collaborating with cross-functional departments, identifying and mitigating critical vulnerabilities to safeguard company assets and prevent financial losses.
  • Conducted in-depth analysis of transactional data, identifying a previously unknown fraud pattern that led to the development and implementation of a new fraud prevention rule, significantly reducing future incidents.
  • Collaborated with fraud analysts from other financial institutions to investigate, verify, and implement mitigation strategies for complex fraudulent transactions.
  • Utilized machine learning and transaction pattern analysis through Smart Vista Fraud Management (SVFM) to proactively detect and prevent fraudulent incidents, protecting the company from significant financial harm.
  • Proactively identified potential vulnerabilities within company processes and products, contributing to a more robust security framework.
  • Analyzed account and transaction patterns to determine existing fraud trends, informing strategic anti-fraud process recommendations.
  • Recommended and implemented system improvements and anti-fraud processes to adapt to changing transaction patterns and emerging threats.
  • Ensured strict adherence to compliance protocols for document verification during customer onboarding and account reactivation processes, mitigating risk.

Lead Customer Service Representative

Flexwork Ng

Feb 2022 - Jul 2023

Flexwork Ng is a tech startup specializing in customer service solutions, providing email, chat, and phone support to businesses. The company focuses on building strong client relationships through exceptional service delivery.

  • Achieved consistent high customer satisfaction by swiftly resolving complex issues, demonstrating strong communication and empathy, enhancing client retention.
  • Designed and implemented comprehensive training programs for new hires, significantly enhancing team knowledge, efficiency, and service delivery quality.
  • Proactively identified and addressed common customer pain points, resulting in a measurable reduction in complaints and improved customer retention.
  • Collaborated cross-functionally with various departments to implement significant customer service improvements, fostering teamwork skills essential for effective problem-solving and investigation.

Education

Computer Software Engineering

Holberton School

Nov 2022 - Jan 2024

Industrial Chemistry

Federal University of Technology Akure

Jan 2015 - Dec 2019

Languages

English (Native)

Skills

Analytical Skills

  • Data Analysis
  • Pattern Recognition
  • Problem Solving
  • Critical Thinking
  • Risk Assessment

Fraud Prevention

  • Fraud Detection
  • Risk Mitigation
  • Financial Crime
  • Anti-Fraud Processes
  • AML/KYC

Data Management & Tools

  • Excel
  • SQL
  • MongoDB
  • MySQL
  • Smart Vista Fraud Management (SVFM)

Programming Languages

  • Python
  • Machine Learning

Operating Systems

  • Linux

Communication & Collaboration

  • Cross-functional Collaboration
  • Stakeholder Management
  • Customer Service
  • Training & Development