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    • Fraud Analytics Lead - Johannesburg - Old Mutual

    Old Mutual
    Old Mutual Johannesburg

    1 month ago

    Old Mutual background
    Description

    Unlocking Africa's Potential

    At Old Mutual, we believe in the power of diverse talent to drive growth and prosperity.

    Job Overview

    We're seeking a highly skilled Fraud Strategy and Analytics Lead to join our team at OM Bank. As a key member of the FRAML team, you'll be responsible for driving data-driven decision-making processes and fostering a culture of innovation.

    • Your primary focus will be on ensuring the accuracy, integrity, and accessibility of data while promoting continuous improvement.
    • You'll report directly to the Head of FRAML and be responsible for designing, implementing, maintaining, and enhancing fraud detection strategies and business rules.
    • This role combines strategy, data science, and collaboration, with a strong emphasis on aligning fraud strategies with organizational goals.
    • The successful candidate will drive innovation in fraud detection by combining business needs, stakeholder insights, data science techniques, and technology expertise.

    Key Responsibilities

    OM Bank aims to set a differentiated standard for its Fraud and Analytical capabilities. This includes:

    Control

    • Policy Development
      • Assist in developing and updating fraud detection policies, procedures, and best practices.
      • Ensure compliance with regulatory requirements and internal controls.
    • Adhere to data and analytical standards and governance.
    • Utilise and expand on the peer review process, and implement best standards for analytical processes.
    • Establish strategies grounded in business insights and data science findings to minimize financial loss and operational risk.
    • Map fraud strategy priorities to Feedzai models and tools.

    Serve

    • Fraud Detection and Prevention
      • Develop and execute The Bank's Fraud Strategy.
      • Lead the development, implementation and maintenance of Fraud data models.
      • Utilize advanced analytics techniques to uncover trends and opportunities for optimization.
      • Identify emerging fraud trends and recommend prevention strategies.
    • Identify and prioritize data requirements for fraud initiatives.
    • Stay informed about industry trends and recommend innovative solutions to enhance our data capabilities.
    • Collaborate closely with cross-functional teams.
    • Mentor and develop a high-performing team of data analysts.

    Learn

    • Actively partake in Analytical Community Events.
    • Share expertise and knowledge to support business-wide analytical growth.
    • Pursue opportunities for professional development and certifications.

    Requirements

    • Post Graduate Degree in Data Science, Statistics, or a related field.
    • 5+ years of experience in Fraud.
    • 3 Years' experience in a leadership role within an analytics environment.
    • Proficiency in data analysis tools (SQL, Python, R, SAS).
    • Demonstrated expertise in data visualization tools such as Tableau, Power BI or Amazon QuickSight.
    • Strong analytical and problem-solving skills.
    • Excellent communication and presentation abilities.
    • Ability to work collaboratively in a team environment.
    • Commitment to continuous learning and development.

    Desirable Skills

    • Proven experience in leading fraud strategy, risk modelling, or fraud decision-making frameworks.
    • Experience building business rules and integrating fraud strategy with machine learning models.
    • Experience managing cross-functional teams.
    • Translating business needs into actionable strategies.
    • A strong foundation in machine learning concepts.
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