Moniepoint
Senior Data Scientist (Credit)
Remote work allowed only within certain countries or regions.
Employer listed it 11 days ago · Added 10 days ago
Listed for 7 days before it closed.
This job has closed
Moniepoint has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.
Browse open rolesSalary
Not stated
Location
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
You have +5 years of experience in data science, decision science, or risk analytics within financial services
- Pay
processes over $250 billion in digital payment transaction value annually.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in South Africa, India.
What the employer says
- Source listing states candidate location: "Remote, South Africa, Moniepoint India"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “You have +5 years of experience in data science, decision science, or risk analytics within financial services”
- “Proficiency in SQL and at least one modelling/programming language (Python, R)”
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
Who we are
Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.
As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.
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.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
Applying
This listing has closed, so there is no application link. The details above are kept for reference only.
Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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