Senior Associate / Manager, Risk Modelling and Decisioning at Flutterwave

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 underlying technology platform that allows businesses to make and accept payments anywhere in Africa. Our HQ is in San Francisco with offices in Lagos, Nairobi, Accra, and Johannesburg

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