Remote Senior Data Scientist Job Opportunity at Moniepoint Incorporated
Moniepoint Incorporated is recruiting a Senior Data Scientist (Credit) to support its consumer lending operations across Nigeria and Africa.
The successful candidate will develop and deploy credit risk models, conduct experiments, analyse customer data and improve lending decisions. The role will focus on credit scoring, affordability modelling, credit limit modelling, pricing, collections and customer retention.
The position is remote and open to candidates in Nigeria. Applicants should have a degree or qualification in a quantitative field, at least five years of relevant professional experience and proficiency in SQL and a modelling or programming language such as Python or R.
Opportunity Snapshot
- Organization: Moniepoint Incorporated
- Job Title: Senior Data Scientist (Credit)
- Location: Nigeria
- Work Arrangement: Remote
- Job Category: Data Science | Financial Services
- Experience Required: At least 5 years
- Educational Qualification: Degree or qualification in Statistics, Mathematics, Engineering or another quantitative field
- Required Technical Skills: SQL, Python or R, Statistics, Machine Learning and A/B Testing
- Salary: Attractive salary (Amount Not Specified)
- Benefits: Pension, Health Insurance, Monthly Bonuses and Other Benefits
- Application Deadline: Not Specified
- Application Method: Online Application
What the Senior Data Scientist Job Is About
The Senior Data Scientist (Credit) will develop data-driven models, experiments and insights to improve Moniepoint’s consumer lending decisions.
The successful candidate will work with the Consumer Credit team to develop credit risk models, improve lending strategies and support decisions relating to customer acquisition, underwriting, pricing, credit limits and collections.
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The role also involves building Moniepoint’s first suite of credit risk models and contributing to the company’s approach to machine learning and traditional modelling methods.
Working at the intersection of data science, credit risk and product development, the successful candidate will translate complex data into actionable recommendations that support business growth and healthy credit portfolio performance.
Who Can Apply for the Senior Data Scientist Role at Moniepoint?
The opportunity is open to candidates who meet the following requirements:
Educational Requirements
Applicants should have a degree or qualification in a quantitative field, such as:
- Statistics
- Mathematics
- Engineering
- Other related quantitative disciplines
Professional Experience
Candidates must have at least five years of experience in any of the following areas:
- Data Science
- Decision Science
- Risk Analytics within financial services
Technical Knowledge
Applicants should have working knowledge of credit risk, consumer lending and relevant regulatory considerations.
Programming and Data Skills
Candidates should be proficient in SQL and at least one modelling or programming language, such as Python or R.
Other Requirements
Applicants should have experience with A/B testing, machine learning, collections modelling and churn management. They should also be able to communicate complex analytical findings clearly to business stakeholders.
Qualifications for the Senior Data Scientist Position at Moniepoint
To qualify for the Senior Data Scientist (Credit) position, candidates should possess the following qualifications and skills:
- A degree or qualification in Statistics, Mathematics, Engineering or another quantitative field.
- At least five years of professional experience in data science, decision science or risk analytics within financial services.
- Strong knowledge of statistics.
- Working knowledge of credit risk and consumer lending.
- Understanding of regulatory considerations in financial services.
- Proficiency in SQL.
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- Proficiency in Python or R.
- Experience with machine learning and A/B testing.
- Experience in collections modelling and churn management.
- Ability to translate complex data analysis into clear business recommendations.
- Ability to work effectively with cross-functional teams.
- Strong ownership and problem-solving skills.
Key Responsibilities of the Senior Data Scientist at Moniepoint
The Senior Data Scientist (Credit) will perform the following duties:
Develop Credit Risk Models
- Develop and deploy credit scoring models to support lending decisions.
- Build affordability models to assess customers’ ability to repay loans.
- Develop behavioural models to support underwriting, pricing and collections.
- Build models that support credit limit decisions.
- Contribute to the development of Moniepoint’s first suite of credit risk models.
Conduct Experiments and Improve Lending Decisions
- Design and conduct experiments to improve loan approval rates, loss rates and profitability.
- Analyse experiment results and provide recommendations for improving lending decisions.
- Apply machine learning and statistical methods to improve credit decision-making.
Collaborate With Product Teams
- Work with product teams to integrate decision-making logic into real-time systems.
- Support product squads in adopting best practices in experimentation.
- Promote data-driven decision-making across product teams.
Ensure Data Quality and Responsible Model Usage
- Ensure data quality across credit decision-making processes.
- Support compliance with relevant regulatory requirements.
- Promote the ethical use of models in lending decisions.
Improve Collections and Customer Retention
- Develop models to improve collections outcomes.
- Build models that support churn management.
- Develop data-driven solutions to improve user retention.
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Salary and Benefits for the Senior Data Scientist Role at Moniepoint
Salary
Moniepoint offers an attractive salary for the Senior Data Scientist (Credit) position. The exact salary amount is not specified in the job announcement.
Benefits
Successful candidates will receive the following benefits:
- Pension
- Health insurance
- Monthly bonuses
- Other employment benefits
Learning and Development
Moniepoint provides a learning and development-focused work environment that includes knowledge sharing, training and regular internal technical talks.
Work Culture
The company promotes employee well-being, mutual respect, teamwork and an inclusive workplace where employees’ opinions and contributions are valued.
Application Requirements for the Senior Data Scientist Position at Moniepoint
Candidates interested in the Senior Data Scientist (Credit) position should be prepared to demonstrate:
- A degree or qualification in a quantitative field.
- At least five years of relevant professional experience.
- Knowledge of statistics and credit risk.
- Proficiency in SQL and Python or R.
- Experience with machine learning and A/B testing.
- Experience in collections modelling and churn management.
- Understanding of consumer lending and regulatory considerations.
- Ability to communicate analytical findings to business stakeholders.
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How to Apply for the Remote Senior Data Scientist Vacancy at Moniepoint
Interested and qualified candidates should follow the steps below to apply for the Senior Data Scientist (Credit) position at Moniepoint Incorporated.
- Visit the official Moniepoint recruitment portal using the application link below.
- Review the job description and confirm that you meet the stated requirements.
- Complete the online application as instructed on the recruitment portal.
- Submit your application through the portal.
Apply here
Application Deadline
The application closing date for the Senior Data Scientist (Credit) position at Moniepoint Incorporated has not been specified.
Interested candidates should visit the official recruitment portal to access the application form and check the availability of the vacancy.
Application Tips
Highlight Your Data Science Experience
Clearly demonstrate your professional experience in data science, decision science or risk analytics, particularly within financial services.
Demonstrate Your Technical Skills
Highlight your proficiency in SQL and Python or R. Include relevant experience with statistical modelling, machine learning and data analysis.
Showcase Your Credit Risk Knowledge
Emphasise your understanding of credit scoring, consumer lending, affordability modelling, underwriting and collections.
Prepare for Technical Assessments
Review statistics, mathematics, linear algebra, Python fundamentals, data structures and algorithms in preparation for the technical assessment.
Demonstrate Your Problem-Solving Ability
Prepare examples of how you have used data analysis and modelling to solve business problems or improve decision-making.
Prepare to Explain Your Work
Be ready to explain your analytical methods, modelling decisions, findings and recommendations clearly to technical and non-technical stakeholders.
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Important Things to Know Before Applying
Experience Requirement
Applicants must have at least five years of experience in data science, decision science or risk analytics within financial services.
Remote Work Arrangement
The position is remote and based in Nigeria.
Technical Assessment
The recruitment process includes a coding exercise on HackerRank covering data science theory and Python fundamentals.
Take-Home Assignment
Candidates will be required to complete a take-home assignment as part of the selection process.
Technical and Behavioural Interviews
Shortlisted candidates will participate in technical and behavioural interviews.
Salary Information
Moniepoint offers an attractive salary, but the exact amount has not been disclosed.
Application Deadline
The closing date has not been specified.
What to Expect in the Hiring Process
Moniepoint has outlined the following recruitment stages for the Senior Data Scientist (Credit) position:
Stage 1: Preliminary Recruiter Phone Call
The recruitment process begins with a preliminary phone conversation with a recruiter.
Stage 2: HackerRank Coding Exercise
Candidates will complete a coding assessment on HackerRank covering:
- Mathematics
- Statistics
- Linear algebra
- Python fundamentals
- Data structures and algorithms
Stage 3: Take-Home Assignment
Candidates will receive an assignment to complete as part of the recruitment assessment.
Stage 4: Technical Interview
Candidates will participate in a technical interview with a Lead in the Data Science Team. The interview will involve an in-depth review of the take-home assignment.
Stage 5: Behavioural and Technical Interview
The final stated stage involves a behavioural and technical interview with the hiring manager.
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Frequently Asked Questions
Is the Moniepoint Senior Data Scientist (Credit) job remote?
Yes. The position is remote and based in Nigeria.
What is the salary of a Senior Data Scientist at Moniepoint?
Moniepoint offers an attractive salary for the position. However, the exact monthly or annual salary has not been disclosed.
What is the minimum experience required?
Applicants must have at least five years of experience in data science, decision science or risk analytics within financial services.
What educational qualifications are required?
Candidates should have a degree or qualification in a quantitative field, such as Statistics, Mathematics, Engineering or a related discipline.
What programming languages are required?
Applicants must be proficient in SQL and at least one modelling or programming language, such as Python or R.
What are the responsibilities of a Senior Data Scientist (Credit) at Moniepoint?
The responsibilities include developing credit scoring and affordability models, conducting experiments, improving lending decisions, supporting collections, managing churn and developing models that improve customer retention.
Does Moniepoint offer health insurance for this position?
Yes. Health insurance is among the benefits listed in the job announcement.
What is the application deadline?
The application deadline has not been specified.
How can I apply for the Moniepoint Senior Data Scientist (Credit) job?
Interested and qualified candidates can apply online through the official Moniepoint recruitment portal:
https://job-boards.eu.greenhouse.io/moniepoint/jobs/4808999101
What is the recruitment process?
The recruitment process consists of a preliminary phone call with a recruiter, a HackerRank coding exercise, a take-home assignment, a technical interview with a Data Science Team Lead, and a behavioural and technical interview with the hiring manager.
Who Should Apply?
The Senior Data Scientist (Credit) position is suitable for experienced data science professionals with a strong background in statistics, credit risk, consumer lending and financial services.
Candidates with at least five years of relevant experience, proficiency in SQL and Python or R, and practical experience in machine learning, A/B testing, collections modelling and churn management should consider applying.
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The opportunity is particularly relevant to professionals who can develop credit risk models, translate complex data into business recommendations and collaborate with product teams to improve lending decisions.
Conclusion
The Senior Data Scientist (Credit) job at Moniepoint Incorporated offers an opportunity for experienced data science professionals to contribute to consumer lending, credit risk modelling and financial technology across Nigeria and Africa.
The position is remote and requires at least five years of relevant professional experience, a quantitative academic background and strong technical skills in SQL and Python or R.
Successful candidates will receive an attractive salary, pension, health insurance, monthly bonuses and other benefits.
Interested and qualified candidates can submit their applications through the official Moniepoint recruitment portal. The application closing date has not been specified.