Data Scientist, Risk
AI summary
Flutterwave seeks a Data Scientist for its Risk team in Lekki, Lagos. The role involves designing and deploying ML models for fraud detection and risk mitigation. Requires 3-5 years of experience with Python, SQL, and ML libraries.
- Design and deploy machine learning models for fraud detection.
- Requires 3-5 years of experience in data science.
- Location: Lekki, Lagos, Nigeria.
- Fintech industry experience required.
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in factory, internship, part_timeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in LekkiThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Scientist, Risk evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Flutterwave and the role in Lekki.
- Add concrete examples related to factory, internship, part_time, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobzilla Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Jobzilla Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Scientist, Risk role in factory, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Lekki under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Flutterwave before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Data Scientist, Risk at Flutterwave ⏲ Jul 29, 2026, 5:04 AM ⋕ View all Banking & Financial Services jobs Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient border-less manner. We are recruiting to fill the position below: Job Title: Data Scientist, Risk Location: Lekki, Lagos The Role In this role, you will contribute to the transition of our risk capabilities from reactive analytics to proactive predictive modeling. You will be responsible for designing, training, and deploying robust machine learning models to detect fraud, assess risk, and protect our infrastructure. The ideal candidate possesses a deep understanding of ML algorithms, strong engineering fundamentals, and the ability to translate complex data into scalable, automated risk solutions. Flutterwave is seeking a highly analytical and technically driven Data Scientist to join our dynamic Risk team. As a fintech company operating in a rapidly evolving landscape, detecting anomalies and mitigating risk at scale is paramount to our success. Responsibilities: Model Development: Design, develop, and optimize data-driven algorithms and machine learning models specifically focused on fraud detection, transaction monitoring, and risk mitigation. Feature Engineering: Collect, clean, and analyze massive transactional datasets from multiple sources to identify predictive features and emerging fraud trends. Deployment & Monitoring: Partner directly with the Engineering and MLOps teams to deploy models into production environments. Monitor model performance, track data drift, and retrain models to ensure ongoing accuracy. Documentation & Culture: Maintain accurate, up-to-date documentation of model architectures, training datasets, and algorithmic decisions to support internal and external audits and regulatory requirements. Risk Strategy Optimization: Translate complex model outputs into actionable business rules and strategies. Work with the compliance and operations teams to balance fraud prevention with user friction. Data Pipeline Validation: Collaborate with cross-functional teams to validate data accuracy, integrity, and consistency across all machine learning and risk pipelines. Required Competency and Skillset Education: Bachelor's or Master’s Degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Technical Stack: Strong programming skills in Python and SQL. Deep proficiency with ML libraries (e.g., Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch). Experience: 3–5 years of proven experience: as a Data Scientist building and deploying machine learning models in a production environment. Bonus/Preferred: Direct experience: building fraud detection, credit risk, or anti-money laundering (AML) models is a plus. Data Tools: Experience: working with cloud data warehouses (e.g., Redshift, Snowflake, BigQuery). Soft Skills: Exceptional problem-solving skills and the ability to communicate complex, algorithmic concepts clearly to non-technical stakeholders (Legal, Finance, Operations). Industry Knowledge: Experience: working in the Fintech or payments industry is required. How to Apply Interested and qualified candidates should: Click here to apply online View all Jobs in Nigeria Lagos State