Job Offers at Moniepoint Inc.

Job Purpose

• The Senior Manager, People Business Partnership, plays a critical leadership role in aligning enterprise people strategy with business direction across multiple portfolios or divisions.
• This role leads a team of PBPs and works closely with senior executives and COE heads to shape, operationalize, and measure strategic people initiatives that enable growth, performance, and organizational transformation.
• Acting as both a business strategist and People function integrator, the Senior Manager ensures that people insights, structure, and capability decisions directly enhance business agility, leadership effectiveness, and cultural consistency.

Key Responsibilities

• Lead strategic partnership with business and functional heads, shaping people strategies that drive organizational performance, leadership capability, and long-term workforce resilience.
• Oversee and coach a team of PBPs, ensuring consistent quality, insight, and delivery across all business portfolios and fostering a consultative, data-led partnership culture.
• Collaborate with COE leaders (Talent, Total Rewards, Learning, Employee Relations, People Analytics) to co-design and execute enterprise-wide initiatives that improve leadership effectiveness, performance, and engagement.
• Drive enterprise workforce planning and organization design efforts, ensuring structures, roles, and talent pipelines are aligned with future business strategy and operational efficiency.
• Use advanced people analytics and insights to identify organizational risks, performance gaps, and opportunities — translating them into actionable business recommendations and measurable outcomes.
• Lead complex change and transformation programs, Partnership with business leadership and COEs to ensure smooth transitions, strong adoption, and cultural alignment.

Qualifications

• 8+ years progressive HR experience, with at least 4 years in a senior business Partnership or HR leadership capacity.
• Demonstrated success leading HRBP teams across multiple functions or geographies.
• Strong command of organizational design, workforce planning, and talent strategy.
• Proven ability to collaborate with COEs and business executives to deliver measurable people outcomes.

Preferred Qualifications

• Experience leading people strategy in fast-scaling, complex, or matrixed organizations (fintech, banking, or technology preferred).
• Exposure to enterprise-level transformation or post-merger integration projects.

About You

• You’re a systems thinker who connects strategy, people, and structure seamlessly.
• You thrive at the intersection of business and HR — balancing commercial priorities with a deep understanding of organizational dynamics.
• You’re a coach and multiplier, developing other PBPs to operate with confidence, judgment, and strategic clarity.
• You use data not just for reporting, but for storytelling — uncovering patterns and framing insights that shape executive decisions.
• You’re comfortable navigating scale, ambiguity, and influence — driving alignment between COEs, business leaders, and People Operations with credibility and empathy.
• Above all, you elevate the People function’s impact, ensuring the business sees People strategy as a competitive advantage, not a back-office function.

What Success Looks Like

• You are recognized as a strategic business enabler by the Executive Leadership Team, with measurable impact on organizational design, leadership performance, and workforce outcomes.
• Enterprise-level people initiatives (from multiple COEs) are successfully executed across your portfolios, with strong adoption, feedback, and measurable ROI.
• Your PBP team operates with confidence and consistency — trusted by business leaders and valued for insight-driven delivery.
• Workforce and succession planning processes within your scope are future-fit, data-informed, and embedded in quarterly business planning cycles.

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Job Purpose

The Data Science Manager (Fraud) leads our fraud decisioning efforts to ensure Moniepoint remains the most trusted financial partner for our users.

In this role, you’ll own the vision and execution of our fraud detection and prevention models. You aren’t just building algorithms; you’re making real-time decisions that protect millions of customers. You’ll lead a team of specialists to create innovative solutions for customer screening, transaction monitoring, and authentication, ensuring our growth is backed by world-class security.

Key Responsibilities

• Set the Strategy: Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
• Lead the Team: Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
• Architect Solutions: Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
• Model Mastery: Develop fraud scoring methodologies and build features from high-volume transactional, device, and behavioural data.
• Optimise Outcomes: Design and run experiments to improve precision and recall, balancing security with a seamless user experience.
• Governance & Integrity: Ensure data quality and the responsible use of models within our regulated environments.
• Continuous Monitoring: Keep a pulse on model performance and drift, ensuring our defences evolve as fast as the threats do.

Qualifications

• 6+ years of experience in Data Science, Decision Science, or Fraud Risk, ideally within financial services.
• A degree or equivalent experience in a quantitative field (Statistics, Mathematics, Engineering, or similar).
• Deep knowledge of fraud typologies, financial crime, and the regulatory landscape.
• Proficiency in SQL and at least one programming language (Python is our primary tool).
• Demonstrated success in building and deploying machine learning models at scale.
• Experience leading or mentoring technical teams in a fast-paced environment.
• Preferred Qualifications
• Experience with A/B testing and experimentation in real-time environments.
• Familiarity with churn management and user retention modelling.
• Advanced degree (MSc or PhD) in a related quantitative field.

About you

• You’re a systems thinker: You see the patterns in data and know how to turn them into scalable defences.
• You have grit: You’re comfortable navigating the ambiguity of a high-growth scale-up and driving momentum through continuous improvement.
• You value mastery: You’re deeply technical but can translate complex analyses into clear, actionable stories for any stakeholder.
• You’re human-centric: You understand that behind every data point is a person’s financial happiness, and you’re driven to protect it.

What Success Looks Like

• Reliable Defences: Our fraud detection systems are highly accurate, maintaining a world-class balance between precision and recall.
• Team Growth: Your team feels supported, clear on their progression, and empowered to do their best work.
• Seamless Integration: Fraud decision logic is embedded into our products without creating unnecessary friction for our honest users.
• Data Integrity: Our models are well-documented, compliant, and consistently monitored for performance and bias.

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About the role

• We’re looking for a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment. This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech. 
• You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You’ll be responsible for building and improving our current capabilities while shaping the future roadmap. We’re looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers.

Your day-to-day

• Strategic Leadership: Be a key leader in building a discipline of exceptional data scientists and analysts. Develop and execute a comprehensive data strategy - design what world class looks like
• Team Building & Management: Hire, develop, and retain a high performing team of data professionals
• Experimentation: Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions.
• Data Pipeline Ownership: Oversee the end-to-end ownership, design, development, and maintenance of scalable and reliable data pipelines.
• Data Insights & Analytics - including model development and productionisation: Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations. How can we build Marketing Mix Models for better channel attribution modeling? What is our actual channel per channel mCAC? Which customer segments are more/less engaged? What are our customers’ share of wallet - how can we use this?
• Stakeholder Collaboration: Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights. Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.

We would love to hear from you if

• What we’re doing here at Moniepoint excites you!
• You have proven experience (typically 8+ years overall and +2 years in management / in data leadership roles), with a strong focus on strategy, execution, and team management. You love coaching and make everyone better around
• you.
• You’ve expertise in experimentation methodologies and A/B testing frameworks (multivariate, geo-holdouts, etc, variance reduction techniques)
• You can create data pipelines (including designing/architecting them - ETL/ELT) - especially using cloud platforms (we use Clickhouse and Bigquery here)
• You’re confident with data Science tools languages (Python and SQL). You know when to pick the right tool, and can help others do the same
• Strong analytical, problem-solving, and communication skills - you can describe the problem, solve it, and relay it back to a wide array of audiences
• You love working in marketing and using advertising data from platforms such as Facebook 

What Moniepoint Can Offer You 

• The opportunity to drive financial inclusion and shape the future of the African financial ecosystem 
• The chance to work on innovative and impactful projects
• A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued 
• Flexible work arrangements
• Continuous learning and career growth opportunities
• Competitive salary, individual performance bonuses, and firmwide performance bonus 
• Company covered health insurance plans
• Pension plans 

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About the role: 

• At Moniepoint, data is at the core of everything we do. We are a customer-centric company, and your work will enable our teams to make informed, data-driven decisions that directly impact the success of our business. We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale. You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.
• This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers. You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers. You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers.

What You’ll Do

• Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
• Design and run experiments to optimise approval rates, loss rates, and profitability
• Partner with product squads to embed decision logic into real-time systems
• Ensure data quality, compliance, and ethical use of models across all decisioning processes
• Mentor product squads on best practices in experimentation and data-driven decision making
• Provide models to optimise outcomes in collections, churn management and user retention

We would love to hear from you if…

• You’re comfortable with Statistics - and have a Degree or qualifications  in a quantitative field (Statistics, Mathematics, Engineering or similar)
• You have +5 years of experience in data science, decision science, or risk analytics within financial services
• Working knowledge of credit risk, consumer lending, and regulatory considerations
• Proficiency in SQL and at least one modelling/programming language (Python, R)
• Experience with A/B testing, machine learning, collections modelling and churn management
• Ability to translate complex analyses into clear recommendations for business stakeholders
• High ownership mindset and comfort working in fast-paced, cross-functional teams

What we can offer you

• Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits