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  • Fraud Analyst - gurugram - EXL

    EXL
    EXL gurugram

    4 weeks ago

    EXL background
    Description

    Data Analysis & Insight Development

    Extract and analyze data using techniques such as association rule learning, cluster analysis, anomaly detection, and predictive modeling.

    Leverage machine learning and pattern recognition to design and enhance Financial Crimes solutions.

    Build and maintain data visualization dashboards using tools like Power BI and Tableau to highlight trends and insights.

    Strategic Problem Solving

    Independently address and solve complex Financial Crimes problems while aligning solutions with strategic objectives.

    Identify trends and propose strategies or additional analyses to mitigate risks effectively.

    Take ownership of analyses and business strategies, ensuring quality and timely delivery.

    Subject Matter Expertise

    Function as an expert in at least one specialized area of Financial Crimes.

    Advocate for continuous technical and professional development within the team.

    Serve as a key resource for mathematical modeling, domain knowledge, and business product expertise.

    Stakeholder Collaboration

    Participate in stakeholder consultations, translating business needs into actionable requirements.

    Recommend and implement technology-driven solutions to enhance Financial Crimes detection and prevention.

    Influence business decisions by connecting external insights to organizational challenges.

    Minimum Qualifications

    Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Data Science) or related discipline from a Tier 1/2 College.

    Experience: 2-7 years of experience in stakeholder consultation, needs assessment, and developing technology solutions; OR advanced degree in a Financial Crimes-related field.

    Demonstrated expertise in applying business rules to technology solutions and strategic decision-making.

    Technical Skills

    Proficiency in programming languages such as Python and SAS.

    Experience with data visualization tools (e.g., Power BI, Tableau).

    Strong knowledge of data analysis tools, statistical methods, and developing SQL queries or procedures.


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