**PLEASE NOTE THIS ROLE IS REMOTE BASED**\n\nAbout Kamoa \nWe are building the global credit score! Without a central, universal way for consumers to demonstrate their true financial behaviour, an exploding segment of the population is being overlooked and passed over for credit solutions. At Kamoa, we are making the invisible visible, combining everyday mobile data with rapidly evolving machine learning, psychometrics and a range of other widespread data sources to reveal consumers' true financial profiles that don't rely solely on bank history or credit bureaus. Our proven technology platform and marketplace then pairs users with the right loan for them with a better, fairer and more accurate score that everyone can trust.\n \nHave a look at our website here to find out more about Kamoa: https://www.kamoa.io/\n \n \nThe Role \n \nDo you have a keen, analytical mind? Do you enjoy interpreting data and using it to draw conclusions? Are you curious about credit and its role in inclusive finance? \n \nIf you can say “yes” to the above, then keep reading: we’re on the lookout for a Data Scientist who can help solve cross-company analytical problems and propose impactful product and policy changes.  \n \nYou will be responsible for all things data, focusing on credit risk, fraud, and optimising customer outcomes. You’ll monitor the portfolio, create risk models, and propose new product and pricing strategies to ensure that the business stays at the top of its game.  \n \nWhilst the ins-and-outs of every day will vary, you can expect to: \n·       design, build and maintain our customer analysis, risk and profitability models (these are used to underwrite loans, combat fraud, set product pricing, segment customers, and predict portfolio performance); \n·       analyse the performance of our statistical models and their associated business rules and propose how they should be set to achieve our risk-reward outcomes and profitability targets; \n·       propose data-driven product changes to improve customer experience and company profitability, partnering with the Product and Engineering teams to implement your solutions in production; \n·       monitor the portfolio to identify trends and share performance updates and analysis; and \n·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact. \n \nWhat will you bring to the role? \n \n·       strong Python skills and a good working knowledge of SQL; \n·       2+ years’ experience in statistical or quantitative modelling; \n·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and \n·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets. \n \nSound good? Apply now by emailing [email protected]!\n\nAbout Kamoa \nWe are building the global credit score! Without a central, universal way for consumers to demonstrate their true financial behaviour, an exploding segment of the population is being overlooked and passed over for credit solutions. At Kamoa, we are making the invisible visible, combining everyday mobile data with rapidly evolving machine learning, psychometrics and a range of other widespread data sources to reveal consumers' true financial profiles that don't rely solely on bank history or credit bureaus. Our proven technology platform and marketplace then pairs users with the right loan for them with a better, fairer and more accurate score that everyone can trust.\n \nHave a look at our website here to find out more about Kamoa: https://www.kamoa.io/\n \nThe Role \n \nDo you have a keen, analytical mind? Do you enjoy interpreting data and using it to draw conclusions? Are you curious about credit and its role in inclusive finance? \n \nIf you can say “yes” to the above, then keep reading: we’re on the lookout for a Data Scientist who can help solve cross-company analytical problems and propose impactful product and policy changes.  \n \nYou will be responsible for all things data, focusing on credit risk, fraud, and optimising customer outcomes. You’ll monitor the portfolio, create risk models, and propose new product and pricing strategies to ensure that the business stays at the top of its game.  \n \nWhilst the ins-and-outs of every day will vary, you can expect to: \n·       design, build and maintain our customer analysis, risk and profitability models (these are used to underwrite loans, combat fraud, set product pricing, segment customers, and predict portfolio performance); \n·       analyse the performance of our statistical models and their associated business rules and propose how they should be set to achieve our risk-reward outcomes and profitability targets; \n·       propose data-driven product changes to improve customer experience and company profitability, partnering with the Product and Engineering teams to implement your solutions in production; \n·       monitor the portfolio to identify trends and share performance updates and analysis; and \n·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact. \n \nWhat will you bring to the role? \n \n·       strong Python skills and a good working knowledge of SQL; \n·       2+ years’ experience in statistical or quantitative modelling; \n·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and \n·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets. \n \nSound good? Apply now by emailing [email protected]!\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science and Mobile jobs that are similar:\n\n $75,000 — $122,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nKenya