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Join Kuda Bank as a Data Analyst - Credit based in Lagos, Nigeria, where you'll play a pivotal role in analyzing credit product performance and shaping financial strategies. Kuda Bank is a leading app-based digital bank dedicated to removing excessive charges and empowering customers to budget and save effectively. This role is embedded in the Decision Science team, contributing to the entire credit lifecycle from product design to portfolio management and collections. In this position, you will analyze credit portfolio performance to detect trends, risks, and opportunities, refine credit policies, and develop profit and loss forecasts to guide strategic choices. You will also assess credit limits, conduct score cut-off analyses, and optimize collection strategies through customer segmentation and A/B testing.
Your insights will be crucial in advising senior management and improving lending outcomes. The ideal candidate brings at least three years of experience as a quantitative or data analyst within financial services, fintech, or e-commerce sectors. Proficiency in SQL and statistical programming languages like Python or R is essential, alongside a strong foundation in statistics and A/B testing methodologies. This is a full-time hybrid role suited to individuals with a mathematical background who thrive in dynamic, data-driven environments. Lagos is a vibrant financial hub where fintech innovation is rapidly expanding, making this role significant in advancing digital banking solutions across Nigeria and Africa. Kuda Bank’s commitment to disruptive banking and financial inclusion positions this role at the forefront of industry transformation. While salary details are not disclosed, Kuda offers a supportive work culture with career development opportunities, comprehensive benefits, and a balanced hybrid work schedule. Successful candidates can expect to advance within fintech analytics, credit risk, and financial strategy roles. To stand out, tailor your application to highlight your experience with credit risk metrics, SQL, and Python or R projects. Quantify your impact on portfolio performance or product improvements and prepare to discuss how your analyses influenced business decisions. Apply for the Data Analyst - Credit position at Kuda Bank to contribute to groundbreaking financial services in Lagos. This opportunity is ideal for data professionals eager to shape Africa’s neobanking future.
EssentialNice to have below
Pension, career development and growth, competitive annual leave plus bank holidays, paid time off (parental, moving day, birthday, study leave), group life insurance, medical insurance, welfare package (wedding, compassionate leave), employee wellness app, award-winning learning and development training
Kuda Bank is a Nigerian fintech company focused on providing innovative digital banking solutions to customers across Nigeria.
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FAQs
What qualifications are required for the Data Analyst - Credit role at Kuda Bank in Lagos?
Candidates should have a degree in Mathematics, Statistics, Physics, or a related field along with at least three years of experience in data or quantitative analysis within financial services, fintech, or e-commerce sectors.
Is the Data Analyst - Credit position at Kuda Bank in Lagos remote or onsite?
This role operates on a hybrid schedule, combining both onsite work at the Lagos office and remote work, supporting flexibility while maintaining team collaboration.
What level of experience does Kuda Bank require for the Data Analyst - Credit role?
The position requires a minimum of three years of relevant experience as a Quantitative or Data Analyst, preferably within fintech or financial services environments.
Are there any benefits offered for the Data Analyst - Credit role at Kuda Bank?
Yes, Kuda Bank provides benefits including pension, career growth opportunities, competitive leave entitlements, group life and medical insurance, and employee wellness programs.
What are the typical working hours for the Data Analyst - Credit role at Kuda Bank?
This is a full-time role with a hybrid work schedule, balancing in-office presence and remote work to promote work-life balance and productivity.
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Data Analyst - Credit at Kuda Bank
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