Workly

Data Scientist

At Oakam

Kenya

**PLEASE NOTE THIS ROLE IS REMOTE BASED** About Kamoa  We 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.   Have a look at our website here to find out more about Kamoa: https://www.kamoa.io/     The Role    Do 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?    If 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.     You 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.     Whilst the ins-and-outs of every day will vary, you can expect to:  ·       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);  ·       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;  ·       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;  ·       monitor the portfolio to identify trends and share performance updates and analysis; and  ·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact.    What will you bring to the role?    ·       strong Python skills and a good working knowledge of SQL;  ·       2+ years’ experience in statistical or quantitative modelling;  ·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and  ·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets.    Sound good? Apply now by emailing peopleteam@oakam.com! About Kamoa  We 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.   Have a look at our website here to find out more about Kamoa: https://www.kamoa.io/   The Role    Do 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?    If 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.     You 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.     Whilst the ins-and-outs of every day will vary, you can expect to:  ·       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);  ·       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;  ·       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;  ·       monitor the portfolio to identify trends and share performance updates and analysis; and  ·       conduct ad hoc analysis to identify changes in portfolio performance, propose solutions, and evaluate their expected impact.    What will you bring to the role?    ·       strong Python skills and a good working knowledge of SQL;  ·       2+ years’ experience in statistical or quantitative modelling;  ·       confidence to extract insights from real-world datasets and to share your findings with management and investors; and  ·       genuine interest in consumer finance, customer psychology and the challenges of lending responsibly in the UK and in emerging markets.    Sound good? Apply now by emailing peopleteam@oakam.com!
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