Qureos Mentor

Moniepoint

<div>Who we are

Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere.

About the role:

We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems.

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
<ul>
<li>Model Development: Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.</li>
<li>Experimentation: Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction.</li>
<li>Risk Assessment: Size fraud typologies across our product lines to inform prioritisation and investment decisions.</li>
<li>System Maintenance: Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.</li>
<li>Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.</li>
</ul>
We would love to hear from you if&hellip;
<ul>
<li>A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)</li>
<li>5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime</li>
<li>Hands-on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus</li>
<li>Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering</li>
<li>Proficiency in Python and SQL; comfort working across the full model development lifecycle</li>
<li>An investigative instinct, you enjoy digging into data to find patterns others miss</li>
<li>The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action</li>
<li>Comfort working in fast-paced, cross-functional teams with high ownership expectations</li>
</ul>
What we can offer you
<ul>
<li>Culture: We put our people first and prioritise 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.</li>
<li>Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.</li>
<li>Compensation: You'll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits</li>
</ul>
What to expect in the hiring process
<ul>
<li>A preliminary phone call with the recruiter</li>
<li>An interview with a business lead</li>
<li>Technical take-home task (SQL/Python test and case study)</li>
<li>A behavioural and technical interview with the Head of Data Science and a member of the executive team</li>
</ul>
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.</div>

Senior Data Scientist (Fraud)

<div>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

Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers. We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Location: Remote

Full time

Job Summary

The Senior Front-end Engineer is required to produce and implement functional software solutions for web clients. You will be using the react js application framework.

Experience with these frameworks is an added advantage but you can apply if you have experience with similar J.S frameworks. You will work with the Enterprise Architect to define software requirements and take the lead on operational and technical projects.

In this role, you should be able to work independently with little supervision. You should have excellent organization and problem-solving skills. You are also required to have hands-on experience in software development and agile methodologies. Your primary goal will be to develop high-quality software that is aligned with user needs and business goals.

What you'll get to do
<ul>
<li>Develop high-quality software design and architecture</li>
<li>Identify, prioritize, and execute tasks in the software development life cycle</li>
<li>Develop tools and applications by producing clean, efficient code</li>
<li>Automate tasks through appropriate tools and scripting</li>
<li>Review and debug code</li>
<li>Perform validation and verification testing</li>
<li>Collaborate with internal teams and vendors to fix and improve products</li>
<li>Document development phases and monitor systems</li>
<li>Ensure software is up-to-date with the latest technology</li>
</ul>
To succeed in this role, you should have
<ul>
<li>At least 5 years of proven experience as a Software Engineer</li>
<li>5 years of experience with Javascript and React</li>
<li>Experience in software development, scripting, and project management</li>
<li>Experience using system monitoring tools (e.g. New Relic) and automated testing frameworks</li>
<li>Familiarity with various operating systems (Linux, Mac OS, Windows)</li>
<li>Analytical mind with a problem-solving aptitude</li>
<li>Ability to work independently</li>
<li>Excellent organizational and leadership skills</li>
<li>Minimum of a BS in computer science or related skills</li>
</ul>
What we can offer you
<ul>
<li>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.</li>
<li>Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.</li>
<li>Compensation - You'll receive an attractive salary, pension, health insurance, plus other benefits.</li>
</ul>
What to expect in the hiring process
<ul>
<li>A preliminary phone call with the recruiter</li>
<li>Technical Assessment</li>
<li>A technical interview with a Lead in our Engineering Team</li>
<li>A behavioural and technical interview with a member of the Executive team.</li>
</ul>
Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.</div>

Senior Frontend Engineer (React)

Join Moniepoint and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Moniepoint

About Company

Senior Data Scientist (Fraud)

Senior Frontend Engineer (React)