Flutterwave Latest Job Vacancies 2026

Job Title: GRC, Privacy & Security Awareness Manager

Location: Nigeria

The Role

• Flutterwave is looking for a GRC, Privacy and Security Awareness Manager who will play an integral part in the development, implementation, and compliance of technical security across the enterprise.
• The manager will be responsible for managing risks related to information security, physical security, business continuity planning, crisis management, privacy, and compliance.
• The manager will also be responsible for ensuring security awareness across the organization.

Responsibilities include but are not limited to:

• Develops and implements security standards, processes and procedures, and guidelines for the enterprise
• Develops and maintains security and governance standards for emerging technologies, including Artificial Intelligence (AI), ensuring alignment with regulatory requirements and industry best practices.
• Ensures and monitors security compliance with industry and government rules and regulations
• Develops and maintains governance frameworks, policies, and risk management processes for the secure, ethical, and compliant adoption of Artificial Intelligence (AI) technologies across the organisation.
• Coordinates with technology and business teams to assess, implement, and monitor security, privacy, compliance, and AI-related risks associated with business and technology initiatives.
• Performs governance and risk assessments for AI-enabled solutions, including third-party AI services, to ensure appropriate security, privacy, compliance, and regulatory oversight.
• Manages the trade-offs required to manage the different levels of risk tolerance and risk exposure across the organization and balance this with risk investments
• Reports security performance against established security metrics
• Ensures security compliance and meets all service level agreement requirements
• Creates an information security awareness program to ensure staff members across the organization understand the trade-off between risk and return
• Understands “voice of the customer” and develops mechanisms to proactively sense adoption and usage patterns of consumer technologies by end users so that policy can align with need
• Ensure personal information of customers, employees, and other individuals the company conducts business with is processed and protected in line with applicable data privacy policies, privacy laws, and global best practices.
• Perform any other duties that may be assigned.

Required competency and skillset to be a waver

• BA or MSc Degree in Computer Science, Information Systems Management, Business Administration, or a related discipline
• Certified Information Systems Security Professional (CISSP) and/or Certified Information Security  Manager (CISM)
• Minimum of 8 years of experience in running the information security office analyzing and applying information security, risk management, and privacy practices
• Minimum 3 years of experience in strategic planning, budgeting, and allocation
• Minimum 5 years of experience with regulatory compliance and information security management frameworks (e.g., IS027000, COBIT, NIST 800, etc.)
• Experience implementing or supporting AI governance, AI risk management, or emerging technology governance programmes is an added advantage.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Scientist, Risk

Location: Nigeria

The Role

• 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.
• 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.

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.
• 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.
• 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.

Required Competency and Skillset

• Education: Bachelor’s or Master’s Degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Experience: 3–5 years of proven experience as a Data Scientist building and deploying machine learning models in a production environment.
• Industry Knowledge: Experience working in the Fintech or payments industry is required.
• Bonus/Preferred: Direct experience building fraud detection, credit risk, or anti-money laundering (AML) models is a plus.
• Technical Stack: Strong programming skills in Python and SQL. Deep proficiency with ML libraries (e.g., Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch).
• 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).

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online