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Data Analyst - Fraud

Moniepoint, BRM

Kenya · Full Time

Be the first to apply

Experience
4+ yrs
Salary
Openings
1
Posted
5時間前
Work mode
In office
Education
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering or related discipline
Resume
Required to apply

Job description

About Us

Moniepoint is a comprehensive financial services platform focused on emerging markets and recognized as Africa's second-fastest growing company. Since its inception in 2019, the company’s technology has supported over 3 million users by delivering personal and business banking, payment solutions, credit, and business management tools. In 2023 alone, Moniepoint handled $182 billion and facilitates the majority of POS transactions in Nigeria.

Role Overview

You will be responsible for analyzing and investigating instances of fraud, measuring their impact, and communicating insights that guide prioritization and response strategies. Collaboration across teams such as fraud operations, engineering, data science, and product management is essential to devise and implement rule-based fraud mitigations and maintain dashboards for monitoring fraud trends and operational metrics. A proactive approach is expected to detect emerging risks early before they intensify.

Key Responsibilities

  • Conduct fraud investigations and quantify their effects to inform decision-making
  • Develop, propose, and refine rule-based countermeasures in partnership with operations and engineering teams
  • Create and maintain analytical reports and dashboards tracking fraud activity, rule effectiveness, and operational KPIs
  • Collaborate closely with cross-functional teams to translate data insights into actionable interventions
  • Identify and alert relevant stakeholders about new fraud patterns or risks proactively

Qualifications and Skills

  • Minimum of 4 years' relevant experience as a Data Analyst specializing in fraud, or equivalent demonstrable achievements
  • Strong analytical problem-solving capabilities
  • Advanced skills in SQL for complex data querying and analysis
  • Background in fraud, risk management, or financial services including understanding of fraud mechanisms and mitigation trade-offs
  • Proactive attitude in independent investigation and issue spotting
  • Familiarity with Python or related scripting languages for data processing
  • Experience with Business Intelligence tools such as PowerBI, Looker, Tableau, Superset, or Redash
  • Excellent stakeholder communication and influence skills across various levels including senior leadership
  • Ability to thrive in dynamic, fast-paced environments with shifting priorities
  • Proficiency in spreadsheet applications like Microsoft Excel or Google Sheets
  • Comfort with flat organizational structures offering high individual impact
  • Outstanding verbal and written communication skills
  • A keen desire to learn emerging technologies and methodologies
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering or related discipline

Additional Advantageous Experience

  • Knowledge of data governance protocols
  • Experience using Git or other version control systems

What We Offer

  • A culture emphasizing employee well-being, inclusiveness, respect, and open communication
  • Strong focus on continuous learning and development including knowledge sharing and technical trainings
  • Competitive salary package along with pension, health insurance, annual bonuses, and other benefits

Recruitment Process

  • Initial phone screening with a recruiter
  • Technical take-home assignment focusing on SQL skills
  • Technical interview with the hiring manager
  • Behavioral interview with the Head of Data Analytics/Science and Fraud Team

Equal Opportunity Commitment

Moniepoint is dedicated to fostering diversity and inclusion in the workplace and encourages applications from all qualified individuals.

Work styles they’re looking for

Adaptability Collaboration Attention to Detail Communication Skills Stakeholder Communication Analytical Problem Solving Proactive Mindset

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