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ASSOCIATE RISK SCORING AND DECISIONING-VACANCY AT FLUTTERWAVE

ASSOCIATE RISK SCORING AND DECISIONING

by Emmanuel Urua
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Job Description

Assist in developing and refining risk scoring models to assess credit risk, fraud risk, and other relevant risks associated with our products and services.

Responsibilities

  • 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, methodologies, and decisioning processes.
  • Participate in audits and regulatory examinations, ensuring compliance with relevant laws and regulations.

Qualification

  • 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, 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.

Location: Nigeria.

Apply: ASSOCIATE RISK SCORING AND DECISIONING

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