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. To gain deeper insights into FairMoney’s pivotal role in reshaping Africa’s financial landscape, we invite you to watch an informative video.
Job Description:
As a Data Analyst in Asset Finance, you will utilize your analytical expertise to support the creation and optimization of processes, operational dashboards, business systems, and monitoring tools. You will play a key role in the development and refinement of this new and exciting line of business.
Key Responsibilities:
- Understand the business: You will learn the business to develop a deep understanding of end-to-end processes. This will inform any actions you take, as you'll have awareness of unintended consequences and second-order impacts.
- Write queries: You will use SQL extensively to create processes, giving teams exactly the data they need and transforming the results of their work for digestion by other operating teams. Additionally, you will use this skill to set up discrepancy and error flagging.
- Build dashboards: You'll build both operational dashboards (to be used by operating teams for case-level deep dives) and analytical dashboards, to inform management decisions and guide coaching needed for employees and contractors.
- Automation: Via the use of SQL and any other coding proficiencies you may have, you'll be removing redundant or unnecessary steps from workflows and automating wherever possible.
- Ad-hoc analysis: Provide analytical support for ad-hoc requests related to collections operations, including risk assessments, portfolio reviews, and process improvements.
- Leadership by example: By building end-to-end knowledge and taking ownership of the success of the business, you will serve as an example to others throughout the business.
Requirements
Required Qualifications:
- High-level proficiency in SQL.
- Extensive experience with dashboarding tools (Tableau, LookerStudio, PowerBI).
- Expertise in spreadsheets (Excel or Google Sheets).
- Working knowledge of mathematics, especially algebra (be able to solve real-world problems with math).
Preferred Qualifications:
- 2+ years of work experience as an analyst who uses SQL every day.
- Working knowledge of R, Python, and/or JavaScript.
- Experience with Google Cloud Platform (GCP).
- University degree in a technical field (Comp Sci, Math, Stats, Engineering, etc.).
Benefits
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Remote Work Model
- Training & Development Programs
Recruitment Process
- Screening call with a member of the Talent Acquisition Team.
- Interview with the RM, Asset Finance.
- Interview with the MD, Asset Finance.