Overview

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 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.

Job Position: Credit Strategy Analyst
Location: Lagos

Job  Overview

As a Credit Strategy Analyst, you are supporting the analytics throughout the credit product life cycle, from product design to credit acquisition, portfolio management, collection and profit & loss. You will work within the Decision Science team, reporting to the Credit Risk Analytics Lead.

Job Responsibilities

  1. Portfolio performance metrics
  2. Policy rule analysis
  3. Profit and loss forecast
  4. Credit limit assignment analysis
  5. Affordability analysis
  6. Score cut-off analysis
  7. Collection rate
  8. Lending / Collection strategy A/B testing

Requirements

  1. Must have an academic background in a mathematical discipline, e.g. Mathematics, Statistics, Physics, etc.
  2. Must have 3+ years of experience as a quantitative analyst in a financial service
  3. Proficient in the database language SQL
  4. Proven knowledge of typical statistical tests used for A/B testing
  5. Proven knowledge of standard statistical software packages (open source language preferred)
  6. Understanding of credit portfolio performance metrics, including but not limited to annualised loss, vintage curves, roll rate, exposure at default, loss given default
  7. General programming language (open source language preferred, e.g. Python, R)
  8. Experience of developing business reports from end-to-end, i.e. from business requirement analysis, designing the visualisation layer of the reports, sourcing the data, developing and productionizing the report, and managing the stakeholders’ expectations.
  9. Experience in generating actionable insights from the reports, e.g. interpreting the monthly monitoring reports to the business owners about their business interest, and recommending actions in response to the latest developments in the reports.

Method of Application
Interested and qualified candidates should:
Click here to apply online

Tagged as: Accounting, Finance, Science

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