Associate, Risk Modelling and Decisioning at Flutterwave

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) make and receive payments in a convenient border-less manner.

We are recruiting to fill the position below:

Job Title: Associate, Risk Modelling and Decisioning

Location: Lekki, Lagos
Job type: Full-time
Department: Risk Organisation

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.

Responsibilities
Include but are not limited to:

• 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.
• Contribute to data initiatives within the Risk & Compliance organization, ensuring robust, complete, accurate, and consistent data capturing for analytic and reporting functions.
• Identify internal and external data sources to improve risk and fraud mitigation strategies and processes.
• Contribute to 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.
• Ensure personal information of customers, employees, and other individuals the company conducts business with is processed and protected in line with applicable data privacy policies, privacy laws, and global best practices.
• 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.
• 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.

Application Closing Date
Not Specified.