• Application Deadline:
• Position: Associate/Senior Associate, Risk Modelling and Decisioning



• Job Type Full Time , Hybrid



• Qualification BA/BSc/HND , MBA/MSc/MA



• Experience 2 - 6 years



• Location Lagos




• City Lekki




• Job Field Data, Business Analysis and AI 
  
  

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.

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.