Data Science Manager, Credit

🔥 17 hours ago

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling and multichannel attribution and testing • Design experiments and interpret the results to draw detailed and actionable conclusions • Work in cross-functional teams across disciplines such as product, engineering and business. • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency

🎯 Requirements

• 5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. • Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics • Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. • Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling • Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 • Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights • Excellent spoken and written English.