Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) to make and receive payments in a convenient borderless manner.

The Role: Flutterwave is seeking a highly skilled and experienced Associate or Senior Associate, 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.

Location

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.

• 2-6 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.

NB: Please note the overall title of the role will be determined by the overall relevant work experience of the candidate as well as technical capabilities.

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