Ngozi Dozie and His Brother Chijioke Counted on DataRobot to Understand the Nigerian Financial Landscape

Ngozi Dozie and His Brother Chijioke Counted on DataRobot to Perceive the Nigerian Monetary Panorama

by Analytics Perception

January 14, 2022


DataRobot actually shines for Carbon—model-building at scale, which is essential for a small crew of simply eight.


DataRobot allows organizations to leverage the transformational energy of AI by delivering the world’s solely trusted enterprise AI platform mixed with an AI-native strategic success crew to assist prospects quickly flip information into worth.

When Ngozi Dozie and his brother Chijioke regarded on the Nigerian monetary panorama, notably within the areas of shopper lending and credit score infrastructure, they noticed a panorama that was immature however held large alternative. Out of 100 million adults in Nigeria, over 40 million of them didn’t have financial institution accounts, and there have been solely about 200,000 distributed bank cards in the whole nation. Since business banks have been hesitant to supply shopper loans, this was a possibility for Carbon, the fintech firm began by Ngozi and his brother, to assist serve the underbanked inhabitants of Nigeria. By leveraging trendy cell app know-how with cutting-edge information science supported by DataRobot, Carbon is now one of many greatest success tales within the African monetary market, disbursing over 3,000 loans per day.

Constructing a credit score rating in a market like Nigeria is a large problem, with little documented monetary historical past or asset possession. Lending to shoppers with out the credit score is of course a dangerous proposition for conventional monetary establishments. To get round that problem, Carbon dedicated to a data-first technique. Extra particularly, it dedicated to an information science-based lending mannequin that took benefit of cutting-edge AI and machine studying know-how from DataRobot to construct sturdy credit score threat fashions for Africa’s largest nation. With a employees of fewer than 150 individuals worldwide, in workplaces in Lagos, London, and Kenya, Carbon has far fewer sources than main banks. Regardless of that, Carbon has leveraged this technique to function profitably in a market that conventional monetary establishments have averted for being too dangerous. 



On the core of all that is DataRobot’s ground-breaking credit score threat algorithmic engine powering Carbon’s cell app. When a shopper submits an software on the cell app, Carbon’s fashions leverage a various set of knowledge from first-, second-, and third-party sources to construct a credit standing. Inside 5 minutes, customers will obtain a credit standing and “good” prospects will achieve entry to higher charges and better limits, whereas higher-risk prospects obtain increased rates of interest. Powering all of that is DataRobot, which helps Carbon dramatically improve the velocity, quantity, and accuracy of the credit score threat fashions they construct.

“Once we launched the cell app in 2016, we realized we have been amassing numerous information and we would have liked to investigate this information at scale and construct numerous fashions with a purpose to make correct lending selections. In the future, our one part-time information scientist ran in and mentioned, ‘Guys, I’ve solved our downside,’ and we thought it was too good to be true, however then he confirmed us DataRobot.”



At present, Carbon processes 150,000 mortgage functions every month by means of DataRobot’s prediction API and tracks these deployments in DataRobotMLOps. 4 separate scorecards present perception into every buyer’s chance to default on their loans. The app then adjusts its lending phrases accordingly. The Carbon algorithms additionally take note of fraud and anti-money laundering practices, that are prevalent within the Nigerian market, and serve up quite a few guardrails accordingly.

The place DataRobot actually shines for Carbon is model-building at scale, which is essential for a small crew of simply eight. Along with permitting them to construct vastly extra fashions, DataRobot has already dramatically streamlined and accelerated its credit score mannequin governance course of, to the purpose the place new fashions might be deployed in hours, somewhat than the months it often takes at massive banks. There are many issues prospects love about DataRobot, even earlier than attending to the purpose of really working fashions. With their success disbursing such an incredible quantity of loans in Nigeria and having helped carry Nigeria’s shopper and SME mortgage market and credit score infrastructure to higher maturity, Carbon is now centered on increasing. The corporate launched providers in Kenya in late 2019 and has additionally begun increasing different product choices, together with peer-to-peer transfers, debit playing cards, and financial savings. “And DataRobot continues to energy the corporate’s basis because it morphs right into a pan-African digital financial institution. Throughout their latest launch in Kenya in January 2020, Carbon’s crew was in a position to simply retrain and redeploy their fashions as they constructed up their buyer database. DataRobot is an inspiring software, an incredible academic software,” mentioned Ngozi. 

DataRobot is an inspiring software, an incredible academic software,” mentioned Ngozi. “We began off with one information scientist, after which one other one, and now we’ve bought a crew of eight. We haven’t stopped since, and we’re not planning to cease. Within the subsequent section of development, we’re enthusiastic about utilizing DataRobot for different non-credit fashions resembling churn, suggestion and buyer segmentation.” He added.

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