Data Analyst - Fraud

Proven experience as a Data Analyst (Fraud),  or a similar role (4+ years, can be made up for with accomplishments)

Advanced proficiency with SQL.

you're comfortable writing complex queries to investigate and slice data across large datasets

Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs

Some exposure to Python or scripting for data manipulation and analysis

Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)

What to expect in the hiring process

A preliminary phone call with the recruiter.

Technical take-home task (SQL test).

Technical Interview with hiring manager.

A behavioural interview with the Head of Data Analytics/Science and Fraud Team.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.

Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work?

Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What you will get to do

Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response