Senior Data Scientist

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point‑of‑sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state‑of‑the‑art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company's mission of reshaping financial services for underserved communities.

Job Summary

Your mission is to develop data science‑driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best‑tailored credit services to as many clients as possible.

Requirements

• Strong background in Mathematics / Statistics / Econometrics / Computer science or related field
• 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain
• Being best friends with Python and SQL
• Hands‑on experience in handling large volumes of tabular data
• Strong analytical skills : ability to make sense out of a variety of data and its relation / applicability to a specific business problem
• Feeling confident working with key Machine learning algorithms (GBM, XG‑Boost, Random Forest, Logistic regression)
• Being at home building and deploying models around credit risk, debt collection, fraud, and growth.
• Track record of designing, executing and interpreting A / B tests in business environment.
• Strong focus on business impact and experience driving it end‑to‑end using data science applications.
• Strong communication skills
• Being passionate about all things data.

Tool Stack

Role and Responsibilities

Benefits

Recruitment Process

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Non‑profit Organizations and Primary and Secondary Education

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