Moses Njenga
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Moses Njenga Email & Phone Number

Data Science - Credit Risk Intelligence.
Location: Nairobi County, Kenya 5 work roles 4 schools
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Role
Data Science - Credit Risk Intelligence.
Location
Nairobi County, Kenya

Who is Moses Njenga? Overview

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Moses Njenga is listed as Data Science - Credit Risk Intelligence. based in Nairobi County, Kenya. AeroLeads shows a matched LinkedIn profile for Moses Njenga.

Moses Njenga previously worked as Data Science - Credit Risk Intelligence at Ncba Group and Data Scientist at Credmark. Moses Njenga holds Bachelor Of Science (Bsc), Actuarial Science from University Of Nairobi.

Profile bio

About Moses Njenga

I am a data scientist specialized in credit risk intelligence using alternative data. I have built application scorecards, behavioral and collection scorecards using either alternative data or traditional data.

Listed skills include Finance, Financial Modeling, Financial Analysis, Portfolio Management, and 10 others.

5 roles

Moses Njenga work experience

A career timeline built from the work history available for this profile.

Data Science - Credit Risk Intelligence

Nairobi, Kenya

- Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success.- Owned full-cycle of machine learning products from idealization and training through deployment into production environment – including real-time inference – and after sales service. - Credit risk intelligence using alternative data sources for digital loan products.- Portfolio analysis and management.

Jul 2020 - Dec 2021

Data Scientist

Nairobi

ETL Credit Scorecards based on decentralized finance data.Customer segmentation models based on decentralized finance data.Building analytics dashboards.

Jul 2019 - Apr 2020

Data Scientist

Acculeap Analytics

Nairobi

- Built credit scoring models for microfinance institutions and mobile lending firms in East Africa.- Built dynamic IFRS 9 models for microfinance institutions in East Africa.- Built customer segmentation models for microfinance institutions in East Africa.

Jan 2017 - Jul 2019

Investment Associate

Excelsior Group

Nairobi

- Carried out project finance modelling and investment advisory to clients in healthcare industry.- Built machine learning models to explore factors driving uptake of health insurance in East Africa.- Carried out feasibility studies for new hospital investments in Lagos, Kigali and Nairobi.- Designed project design documents and investment memos for clients in the healthcare industry.

Jan 2015 - Dec 2016

Business Development

Marines Well Services Ltd

Thika

-Designed the management’s strategic plan, the marketing plan, and operational plan for the organization. This resulted in increased revenue streams.-Designed a new online marketing strategy for the organization resulting to increased revenues for the organization.-Performed quarterly competitive analysis of the organization’s strengths and weaknesses.

Jul 2012 - Dec 2014
4 education records

Moses Njenga education

Galileo Master Certificate, Renewable Energy Management And Finance

The European Energy Center

Renewable energy project finance modeling

Frm Level 1, Financial Risk Management

Global Association Of Risk Professional

Activities and Societies: GARP Credit risk measurement and management.

Kcse, Kcse

Moi High School Kabarak
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What is Moses Njenga's role at their current company?

Moses Njenga is listed as Data Science - Credit Risk Intelligence..

Where is Moses Njenga based?

Moses Njenga is based in Nairobi County, Kenya.

What companies has Moses Njenga worked for?

Moses Njenga has worked for Ncba Group, Credmark, Acculeap Analytics, Excelsior Group, and Marines Well Services Ltd.

How can I contact Moses Njenga?

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What schools did Moses Njenga attend?

Moses Njenga holds Bachelor Of Science (Bsc), Actuarial Science from University Of Nairobi.

What skills is Moses Njenga known for?

Moses Njenga is listed with skills including Finance, Financial Modeling, Financial Analysis, Portfolio Management, Financial Risk, Spss, R, and Derivatives.

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