Data Scientist, Risk (Fintech)

Location: Lekki, Lagos, Nigeria

Company

hirify.global provides payment infrastructure that enables African and international consumers and businesses to make and receive payments.

What you will do

• Design, develop, and optimize machine learning models for fraud detection, transaction monitoring, and risk mitigation.
• Collect, clean, and analyze large transactional datasets to identify predictive features and emerging fraud trends.
• Deploy models with Engineering and MLOps teams, monitor performance and data drift, and retrain models as needed.
• Translate model outputs into business rules and risk strategies while balancing fraud prevention with user friction.
• Validate data accuracy and integrity across machine learning and risk pipelines.
• Document model architectures, training datasets, and algorithmic decisions for audits and regulatory requirements.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 3–5 years of experience building and deploying machine learning models in production.
• Experience in the fintech or payments industry.
• Strong programming skills in Python and SQL.
• Proficiency with machine learning libraries such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience with cloud data warehouses such as Redshift, Snowflake, or BigQuery, plus the ability to communicate technical concepts to non-technical stakeholders.

Nice to have

• Experience building fraud detection, credit risk, or anti-money laundering models.

Culture & Benefits

• Cross-functional collaboration with Engineering, MLOps, Compliance, Operations, Legal, and Finance.
• Work focused on proactive predictive modeling and scalable automated risk solutions.