Data Scientist (Fraud)
Moniepoint · Remote · remote · Posted 40d ago
About a minute. You'll make an account on the way through.
About this role
- Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles .
- Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction .
- Size fraud typologies across our product lines to inform prioritization and investment decisions .
- Build and maintain anomaly detection systems to surface novel fraud vectors before they scale .
- Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations .
- A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar).
- 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
- Hands-on experience building and deploying machine learning models in a production environment.
- Fraud, risk, or financial services experience is a strong plus.
- Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering.
- Comfort working in fast-paced, cross-functional teams with high ownership expectations.
- Proficiency in Python and SQL; comfort working across the full model development lifecycle .
- An investigative instinct - you enjoy digging into data to find patterns others miss .
- The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action .
- Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale .
- Well-designed experiments that successfully balance customer experience against fraud loss reduction .
- Clear sizing of fraud typologies that effectively drives product prioritization and strategic investment decisions .
- Seamless cross-functional alignment where technical model outputs are consistently translated into real-world fraud mitigations .
- Culture: We put our people first and prioritize the well-being of every team member . Weve built a company where all opinions carry weight and where all voi ces 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: Youll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits .
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
About Moniepoint
Moniepoint
Banking
1001-5000
employees
London, England
United Kingdom
₹56.3L PA avg
Avg at Moniepoint
About
Moniepoint Inc. is a leading financial technology company that provides a seamless platform for businesses, their employees and customers, to accept payments digitally, receive credit and access business management tools that enable them to grow with ease.
We are the parent company of TeamApt Ltd and Moniepoint MFB and we support over 1,800,000 businesses to process $12 billion monthly through our digital payment acceptance channels.
For our work in making digital payment accessible to businesses in emerging markets, our Nigerian subsidiary was awarded the National Inclusive Payment Initiative Award by the Central Bank of Nigeria. In 2022, CB insights recognised us as a top global fintech.
We are backed by QED, British International Investment, FMO, and other leading global venture capital funds.
Moniepoint Inc. is a fully remote tech company with a diverse workforce worldwide and is headquartered in London, with offices in the US, Nairobi and Lagos. Join us as a to help power the dreams of businesses globally.
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