Head of Data – Financial Services

Ascentech Services Limited | Lagos, Nigeria

Full-Time Posted today 0 views

About the Role

Ascentech Services Limited is seeking a strategic and visionary Head of Data to spearhead our client's data operations within the dynamic Nigerian financial services sector. In this executive capacity, you will shape the overall data strategy, advance analytics capabilities, and oversee mission-critical machine learning deployments including credit risk models and fraud detection frameworks. You will empower a talented team of data professionals to drive business growth through actionable insights and robust data governance.

Key Responsibilities
  • Lead comprehensive data strategy, governance, architecture, and data quality initiatives across the enterprise.
  • Develop, validate, and deploy advanced credit risk, behavioural scoring, and collections models.
  • Oversee sophisticated fraud and anomaly detection mechanisms alongside Early Warning Systems (EWS).
  • Drive customer segmentation, propensity modeling, churn prediction, cross-sell, and growth analytics.
  • Ensure AI and machine learning models are efficiently deployed, monitored, and optimized in production environments.
  • Collaborate cross-functionally with Risk, Product, Commercial, Engineering, Finance, and Compliance teams.
  • Mentor and develop the data team while establishing strong technical, MLOps, and operational standards.
Qualifications
  • Bachelor degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
  • Minimum of 10 years of professional experience in Data Science, Analytics, or Data Engineering.
  • At least 4 years of proven experience leading multidisciplinary data teams within banking, lending, or fintech environments.
  • Extensive expertise in credit risk modelling, fraud analytics, and large-scale financial transaction data.
  • Proficiency in SQL, Python, Snowflake, Power BI, PySpark, Machine Learning, MLOps, and Cloud platforms.
  • Familiarity with data governance, model risk management, and regulatory frameworks within financial services.
Benefits
  • Competitive salary and performance-based incentive structure.
  • Opportunities for professional growth and executive leadership impact.
  • Dynamic, collaborative work environment with industry experts.

Skills

Data Strategy Credit Risk Modelling Python SQL Machine Learning MLOps Fraud Analytics Data Governance Power BI PySpark
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