Senior Associate / Manager, Risk Modelling and Decisioning at Flutterwave July, 2024

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Our mission is to power a new wave of prosperity across Africa. By enabling global digital payments on a continent that’s been largely cut off from the digital economy, we’re creating the infrastructure to power Africa’s growth in the 21st Century. Founded in 2016 by a team of ex-bankers, entrepreneurs and engineers, we provide the under…

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Senior Associate / Manager, Risk Modelling and Decisioning

The Role: 

  • Flutterwave is seeking a highly skilled and experienced Senior Associate or Manager of Risk Modelling and  Decisioning to join our dynamic team.
  • As a leading player in the fintech industry, we are dedicated to revolutionizing financial services through innovative technology and data-driven solutions.
  • The Manager of Risk Modeling and Decisioning will play a crucial role in designing and implementing risk, compliance, and fraud decisioning strategies and processes, ensuring a robust data infrastructure to optimize our risk analytic capabilities and drive business growth

Responsibilities include but are not limited to:

  • Lead or contribute to the development, enhancement, and maintenance of risk, compliance, and fraud prevention rules and processes across multiple products and channels from an analytic perspective.
  • Lead data initiatives within the Risk & Compliance organization, ensuring robust, complete, accurate, and consistent data capturing for analytic and reporting functions.
  • Monitor the performance of decisioning strategies and processes, identifying opportunities to leverage vendors’ capabilities better.
  • Identify internal and external data sources to improve risk and fraud mitigation strategies and processes.
  • Drive initiatives to automate and streamline risk management processes, leveraging advanced analytics and machine learning techniques where applicable.
  • Support predictive analytics initiatives by providing guidance as an analytic reviewer or with hands-on modeling when required.
  • Collaborate with cross-functional teams, including Data Science, Product Management, and Engineering, to implement data and decision strategies into production systems.
  • Analyze and interpret data to identify trends, patterns, and insights that inform risk management decisions and strategies.
  • Stay current with industry trends, best practices, and regulatory requirements related to risk management methodologies.
  • Provide leadership and mentorship to a team of risk analysts, fostering a culture of collaboration, innovation, and continuous learning.
  • Work closely with stakeholders to understand business objectives and develop risk management solutions that balance risk mitigation with business growth objectives.
  • Support regulatory compliance efforts by ensuring that risk analytics and decisioning strategies adhere to relevant regulations and guidelines.

Required competency and skillset to be a waver

  • Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, or related discipline; advanced degree preferred.
  • 5+ years of experience in risk/fraud strategy/analytic, rule and data management, or related analytic fields within the financial services industry.
  • Strong technical skills including proficiency in Python and other statistical analysis, data mining, and programming languages such as SQL.
  • Familiarity with risk/fraud management frameworks, methodologies, and regulatory requirements (e.g. GDPR).
  • Experience with building predictive models and data analytic tools (e.g., logistic regression, decision trees, random forests, gradient boosting and neural networks).
  • Excellent analytical and problem-solving skills with the ability to translate complex data into actionable insights and recommendations.
  • Proven leadership experience with the ability to effectively manage and mentor a team of analysts.
  • Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and senior leadership.
  • Strong project management skills with the ability to prioritize and manage multiple initiatives in a fast-paced environment.
  • Demonstrated ability to work collaboratively in cross-functional teams and drive results through influence and persuasion.

Method of Application

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