Jobs at Moniepoint Inc. – Apply Now

What you’ll get to do

• Engage in business development activities and solicitation of new business; Customer acquisition through sale of the bank’s products and services.
• Cross selling of bank products and services.
• Actively seeking out new sales opportunities through cold calling, networking and social media
• Create marketing strategies to achieve sales targets.
• Conducts daily meetings with the sales team and carry out reviews on the previous day and jointly plan for the week ahead
• Manages and maintains current business relationships
• Conducting market research to identify selling possibilities and evaluate customer needs
• Participate in market storms, community fairs and cluster marketing events e.g. Trade Fairs
• Implement best practices to meet customers’ needs and requirements.
• Prepare and deliver appropriate presentations on products and services
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share with internal teams
• Understand customer financial needs and objectives.
• Recommend appropriate financial product or service to the customer.

To succeed in this role, we think you should have

• Minimum 4-5 years in-depth sales experience, preferably in the banking, fintech or similar industries.
• Strong understanding of the local financial services industry
• Experience in marketing/sales within the banking sector with emphasis on onboarding and managing Merchants.
• Experience selling lending services and merchant POS devices to corporates should be an added advantage (Good network of enterprise merchants)
• Strong business acumen and analytical thought process.
• Ability to execute goals independently with little or no supervision.
• Excellent communication skills.
• Tertiary education from a recognised institution.
• Must be resident in Ebonyi state

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,, Employee Stock Options, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• An interview with the Hiring Team.
• An interview with a member of our Executive team. 

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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.
• Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance.

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

Requirements
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.

go to method of application »