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Associate/Snr Associate, Risk Modelling & Decisioning (Candidates in South Africa, Kenya, and Egypt may also apply)



Lekki, Nigeria
Posted on Tuesday, February 20, 2024

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 highly skilled and experienced We are seeking an ambitious & experienced Associate, Risk Scoring and Decisioning 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. This position requires a deep understanding of risk assessment methodologies, 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 scoring models, optimizing decisioning systems, and contributing to overall risk management frameworks.

Responsibilities include but are not limited to:

  • Assist in developing and refining risk scoring 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 scoring 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.
  • Build timely and error-free reports and dashboards for various Risk metrics
  • 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 scoring models, predictive 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.
  • Minimum 4+ years of experience in risk management, credit scoring, or related fields within the financial services industry.
  • Hands-on experience on PowerBI, DAX, Python, R, and SQL.
  • Critical thinking & problem solving skills – ability to assess situations, verify facts, reason logically to come up with options and propose sound recommendations.
  • Experience with machine learning techniques and tools for building predictive models (e.g., logistic regression, decision trees, random forests, gradient boosting).
  • Familiarity with risk management frameworks, methodologies, and regulatory requirements (e.g. GDPR).
  • Experience developing and implementing risk scoring models, preferably in a fintech or lending environment.
  • Knowledge of machine learning techniques and their application to risk management is a plus.
  • 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.