Data Analyst (Fraud) at Kuda Bank

Kuda is a full service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the African diaspora wherever they might live, anywhere in the world. Kuda is free of ridiculous banking charges and great at helping customers budget, spend smartly and save more. We raised the largest seed round ever seen in Africa, and completed a Series A funding round in February 2021, led by some of the world's smartest venture capital investors. With offices in London (our HQ), Lagos and Cape Town, and further offices opening across Africa during 2021, Kuda is fast becoming recognised as the leading 'Neobank' for Africans.

To help us grow into the company that can bring meaningful change to the way people across Africa get access to great financial products and services in order to take control of their personal finances, we are actively looking for bright, talented, driven people who are excited by our mission. If this sounds like a great way to spend your valuable time, then please get in touch with us.

We are recruiting to fill the position below:

Job Title: Data Analyst (Fraud)

Location: Lagos
Employment Type: Full-Time

About the Role

• We are seeking a highly skilled and detail-oriented Data Analyst to join our dynamic Fraud Team.
• In this role, you will play a key part in managing fraud queries, proactively preventing fraud incidents, and ensuring the security of our customers' finances.

Key Responsibilities

• Identifying and investigating cases of fraud across our various channels
• Implementing measures to mitigate fraud risks and prevent fraudulent activities
• Monitoring all electronic transactions to detect suspicious patterns
• Handling escalations and providing timely resolutions to fraud-related issues
• Collaborating with internal stakeholders to identify trends and implement control measures
• Providing investigative findings on reported fraud cases to customers.

Requirements

• Bachelor's degree in a relevant field
• Minimum of 2 years of experience in fraud analysis or a similar role
• Strong analytical and problem-solving skills
• Knowledge of fraud prevention techniques and technologies
• Proficiency in using fraud detection tools and software
• Excellent attention to detail and ability to work with large volumes of data
• Good communication skills and ability to collaborate effectively with cross-functional teams
• Ability to work in a fast-paced environment and handle multiple priorities.

Application Closing Date
Not Specified.