Ascentech Services Limited is the most sought-after Human Resource Solution Provider with its Head Office in Lagos, Nigeria. We have a reputation for satisfying and surpassing clients' expectations through our core offerings: Recruitment and Selection, Outsourcing, and Training and Development. To accomplish these we leverage creating and manage change in organizations by improving efficiency through our proven and dynamic HR solutions. GeographicReference
We are recruiting to fill the position below:
Job Title: Head of Data – Financial Services
Location: Lagos
Employment Type: Full-time
Level: Senior Leadership
Job Summary
We are seeking an experienced Head of Data – Financial Services to lead data strategy, analytics, machine learning, credit risk modelling, fraud detection, and data governance for a growing financial services business.
The successful candidate will lead a multidisciplinary team of Data Engineers, Data Analysts, and Data Scientists, ensuring data products and models are effectively deployed and aligned with business objectives.
Key ResponsibilitiesLead data strategy, governance, architecture, and data quality initiatives.
Develop and deploy credit risk, behavioural scoring, and collections models.
Oversee fraud, anomaly detection, and Early Warning Systems (EWS).
Drive customer segmentation, propensity, churn, cross-sell, and growth analytics.
Ensure AI/ML models are deployed, monitored, and optimized in production.
Partner with Risk, Product, Commercial, Engineering, Finance, and Compliance teams.
Lead, mentor, and develop the data team while establishing strong technical and MLOps standards.
RequirementsBachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related field.
10+ years' experience in Data Science, Analytics, or Data Engineering.
4+ years' experience leading multidisciplinary data teams, preferably in banking, lending, or fintech.
Proven experience in credit risk modelling, fraud analytics, and financial transaction data.
Strong knowledge of SQL, Python, Snowflake, Power BI, PySpark, Machine Learning, MLOps, and Cloud platforms.
Experience with data governance, model risk management, and financial services regulations.
Experience in SME, retail, or informal-sector lending is an advantage.
Application Closing Date23rd October, 2026.
How to Apply
Interested and qualified candidates should send their updated CV to: [Email hidden - Login to reveal] using “Head of Data – Financial Services” as the subject of the email.
How To Apply
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Attach your Application letter, updated Curriculum Vitae (CV) and any supporting documents required.
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Note: Only shortlisted candidates are contacted.
