Data Scientist, Risk

About this role

Flutterwave, a fintech company, is hiring a Data Scientist for its Risk team in Lagos. The role focuses on designing, training and deploying machine learning models to detect fraud, assess risk and protect the infrastructure.

What you would do

• Design, develop and optimise data-driven algorithms and machine learning models for fraud detection, transaction monitoring and risk mitigation.
• Gather, clean and analyse large transactional datasets from multiple sources to identify predictive features and emerging fraud trends.
• Collaborate with Engineering and MLOps teams to deploy models into production, monitor performance and data drift, and retrain as needed.
• Translate model outputs into actionable risk rules and strategies, working with compliance and operations to balance fraud prevention with user friction.
• Validate data accuracy, integrity and consistency across ML and risk pipelines with cross-functional teams.
• Document model architectures, training datasets and algorithmic decisions to support audits and regulatory requirements.

What they are asking for

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science or a related quantitative field.
• 3-5 years of proven production experience as a Data Scientist building and deploying ML models.
• Experience in the fintech or payments industry.
• Bonus: direct experience building fraud detection, credit risk or AML models.
• Strong programming skills in Python and SQL, with hands-on experience using ML libraries such as Scikit-Learn, XGBoost, LightGBM, TensorFlow or PyTorch.
• Experience with cloud data warehouses such as Redshift, Snowflake or BigQuery.

Listing details are summarised from the source. Always confirm the role and the employer on the original posting before applying, and never pay to apply for a job.