Associate, Risk Modelling & Decisioning at Flutterwave

The Role: 

Flutterwave is seeking ambitious & experienced Risk Modeling and Decisioning professionals to join our dynamic team. The successful candidate will play a critical role in enhancing our risk management strategies and ensuring the integrity of our decision-making processes using predictive analytics. This position requires a deep understanding of risk/fraud modeling methodologies, advanced data analytic techniques,  statistical analysis, and data-driven decision-making within the fintech industry. 

The ideal candidate will have a proven track record of developing and implementing risk models, optimizing decisioning systems, and contributing to overall risk management frameworks.

Responsibilities include but are not limited to:

• Assist in developing and refining risk models to assess credit risk, fraud risk, and other relevant risks associated with our products and services.
• Conduct comprehensive analysis of historical data and market trends to identify patterns and insights that inform risk management strategies.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to implement risk scoring models into our decisioning systems.
• Monitor the performance of risk models and decisioning systems, identifying opportunities for improvement and optimization.
• Stay abreast of industry best practices, regulatory requirements, and emerging trends in risk management and decision sciences.
• Carry out analytics activities at all stages of data analytics life-cycle - understanding business needs, explore and examine data from multiple sources, help build workflows for extraction and cleaning of data, conduct exploratory data analysis.
• Provide analytical support and insights to senior management and stakeholders to aid in strategic decision-making processes.
• Develop and maintain documentation related to risk models, methodologies, and decisioning processes.
• Participate in audits and regulatory examinations, ensuring compliance with relevant laws and regulations.

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+ years of experience in risk management, analytic modeling, credit/fraud scoring, or related fields within the financial services industry.
• Strong technical skills including proficiency in Python and  statistical analysis and programming languages.
• Experience with machine learning techniques and tools for building predictive models (e.g., logistic regression, decision trees, random forests, gradient boosting).
• Critical thinking & problem solving skills – ability to assess situations, verify facts, reason logically to come up with options and propose sound recommendations.
•  Familiarity with risk management frameworks, methodologies, and regulatory requirements (e.g. GDPR).
• Experience developing and implementing analytical models, preferably in a fintech or lending environment.
• Excellent analytical skills with the ability to translate complex data into actionable insights.
• Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
• Detail-oriented with a focus on accuracy and quality of work.
• Familiarity with regulatory requirements and compliance standards in the financial services industry.