Flutterwave Recruitment 2026:  Payroll and Benefits Manager, Senior Manager, Financial Reporting, Etc. Jobs

Job Title: Payroll and Benefits Manager

Location: Nigeria

The Role

• The Payroll and Benefits Manager is a critical operational role responsible for ensuring accurate, timely, and compliant payroll and benefits processing across all markets.
• You will manage complex, multi-country payroll landscapes, drive process improvements, and serve as a key trust function in our fast-growing, multi-country fintech environment.
• This role reports to the Head, People Enablement and Governance.

What Your Day-to-Day Activities Will Be Like
Payroll Operations:

• Manage end-to-end payroll processing across all active Flutterwave markets, ensuring accuracy, completeness, and timely disbursement every cycle
• Maintain payroll records, adjustments, and change logs with full audit trail discipline
• Coordinate with HR and Finance teams to ensure all payroll inputs, including new hires, exits, salary changes, bonuses, and deductions, are captured and processed correctly
• Reconcile payroll outputs with Finance ledgers each cycle and resolve discrepancies promptly
• Own the payroll calendar and proactively flag risks to timely processing

Statutory Compliance:

• Ensure full compliance with payroll-related statutory obligations in every market, including PAYE, pension, NHF, NHIS, and equivalent obligations in non-Nigerian markets
• Prepare and file all statutory payroll remittances accurately and on time
• Monitor changes in tax legislation and employment law across markets and update payroll processes accordingly
• Act as the primary point of contact for payroll-related regulatory queries and audits

Benefits Administration:

• Administer employee benefits deductions and contributions through payroll, including group life insurance, health insurance, and pension
• Ensure accurate reflection of benefit enrolments, changes, and terminations in payroll cycles
• Support benefits renewals with payroll data and cost analysis

Systems and Process Improvement:

• Own and optimise payroll system configuration, ensuring it accurately reflects business rules, local statutory requirements, and pay structures
• Streamline and improve payroll processes to reduce error risk and processing time
• Build and maintain a reliable payroll reporting suite for People, Finance, and leadership

Vendor and Partner Management:

• Manage relationships with payroll service providers, statutory agencies, pension fund administrators, and benefits brokers
• Ensure SLAs and compliance obligations are met across all third-party payroll relationships

Governance and Audit:

• Maintain clean, well-structured payroll records that are audit-ready at all times
• Lead payroll-related internal and external audit exercises, producing accurate documentation and resolving queries efficiently
• Identify and escalate payroll risks, flagging issues to the Head, People Enablement and Governance proactively
• Ensure personal information of customers, employees, and partners is processed and protected in line with data privacy laws and global best practices

Required competencies to be a Waver

• Minimum of 7 years’ experience in payroll management, with direct responsibility for multi-country payroll
• Deep knowledge of Nigerian payroll legislation, including PAYE, pension (PenCom), NHF, and NSITF; exposure to other African markets is a strong advantage
• Proven experience managing payroll in a regulated or financial services environment
• Hands-on experience with payroll software and HRIS platforms; ability to configure and optimise payroll systems
• Strong reconciliation and analytical skills, with high attention to numerical accuracy
• Track record of building payroll processes, not just running them
• Relevant professional qualifications in HR, Finance, or Payroll (e.g. CIPM, ICAN, CIPP) are an advantage
• Excellent attention to detail, collaboration, and stakeholder management skills.

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