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Data Science with 4+ years in Fraud Detection & Risk Management
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Goal-oriented StratOps, Credit Risk Officer, and Fraud Analyst with expertise in managing and mitigating risk, credit analysis, fraud detection, and regulatory compliance. Possesses strong analytical and interpersonal skills, committed to driving business growth and delivering professional services in reputable, merit-driven organizations.
Kwara State Polytechnic, Ilorin
Higher National Diploma (HND) · Estate Management
N/A – January 1, 2019
Osun State Polytechnic, Iree
National Diploma (N.D) · Estate Management
N/A – January 1, 2015
Spiro
Stratops, Data and Fraud Analyst (Energy Networks)
September 1, 2025 – Present
Lagos Island, Lagos State, Nigeria
StillEarth Capital Finance
Credit Risk Officer / Credit Underwriter
March 1, 2024 – August 1, 2025
Lagos Island, Lagos State, Nigeria
M-KOPA
Fraud Analyst / Credit Risk Analyst
May 1, 2022 – March 1, 2024
Lagos Island, Lagos State, Nigeria
EXPERTISE VENTURES
Research Analyst
January 1, 2022 – April 1, 2022
Singapore, Central Singapore Community Development Council, Singapore
Cultural Fit Analysis
The candidate's experience across various companies (Spiro, StillEarth Capital Finance, M-KOPA, EXPERTISE VENTURES) and roles (Stratops, Credit Risk Officer, Fraud Analyst, Research Analyst) demonstrates adaptability and a breadth of exposure. Their focus on risk mitigation, fraud detection, and data intelligence aligns well with data-driven organizational cultures. However, the lack of explicit project diversity outside of risk/fraud and the non-traditional educational background for a data science role might require further assessment to ensure a perfect cultural fit for highly research-oriented or academic data science environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical, problem-solving, and decision-making skills through their experience in fraud analysis, credit risk, and operational strategy. Their ability to collaborate with cross-functional teams and lead initiatives suggests good operational fit and interpersonal skills. The experience in process automation and streamlining reporting indicates a results-oriented approach.