Senior Data Analyst 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: Senior Data Analyst

Location: Lagos (Hybrid)
Job type: Full time

Job Summary

• We are seeking a Senior Data Analyst to join our Fraud Team.
• In this role, you will leverage your expertise in data analytics to uncover insights, build predictive models, and develop strategies to combat fraud effectively.

Key Responsibilities

• Monitor transactions and activity to identify patterns and trends indicative of fraudulent behavior.
• Develop and refine fraud detection algorithms and scoring systems.
• Analyze large datasets to generate actionable insights for fraud prevention.
• Create dashboards and reports to track key fraud metrics and trends.
• Present findings and recommendations to stakeholders, including leadership teams.
• Partner with Fraud Operations, Risk, and Product teams to develop effective fraud prevention strategies.
• Collaborate with Data Science and Engineering teams to implement advanced machine learning models and solutions.
• Evaluate and enhance current fraud detection processes, tools, and systems.
• Lead the development of automated solutions to streamline fraud detection and reporting.
• Assess emerging fraud trends and adapt strategies to address new risks.
• Proactively identify vulnerabilities and recommend preventive measures.

Requirements

• Bachelor's degree in a relevant field.
• Minimum of 4 years of experience in fraud analysis or a similar role.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large volumes of data.
• Intermediate to advanced SQL (an advantage).
• Strong analytical and problem-solving skills.
• Experience working in a fintech or other fast paced environment.
• Proficient in Monitoring systems and rules tuning.
• Knowledge of fraud prevention techniques and technologies.
• Proficiency in using fraud detection tools and software
• Good communication skills and ability to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple priorities.
• Proficiency in SQL for querying databases and extracting data for analysis.
• Advanced skills in data analysis and the ability to use these skills to identify patterns and anomalies that may indicate fraud.

Benefits
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:

• Great and upbeat work environment populated by a multinational team
• Pension
• Career development & growth
• Competitive annual leave plus bank holidays
• Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
• Group life insurance
• Medical insurance
• Well-fare package (Wedding, Compassionate and etc)
• Perkbox
• Goalr - employee wellness app
• We are advocates of work-life balance, working in a hybrid in office schedule

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online