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    Job · 18971467

    AMERICAN EXPRESS logo

    Analyst-Data Science

    AMERICAN EXPRESS · Not specified · onsite · Posted 28d ago

    Undisclosed2–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Fraud, CBO, Payments and Agentic Risk Decision Science Team of American Express is looking for a tenured Analyst or Sr. Analyst who would be actively involved in developing, refining and implementing ML models for Fraud Risk Decision Sciences domain.
    Minimum Qualifications
    • Graduate/Post Graduate Degree in Statistics / Mathematics / Economics / Engineering/Management from a reputed institute.
    • 2+ years relevant CFR experience in Analytical/Modelling Skills
    • Proficiency in data analysis and programming languages such as Python, Hive, PySpark.
    • Strong coding skills and hand-on experience with advanced Machine Learning, Deep Learning, AI algorithms
    • Familiarity with cloud computing platforms like Google Cloud for model training.
    • Experience in handling large datasets and implementing data preprocessing techniques
    • Excellent communication and presentation skills, with the ability to translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders.
    • Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities


    Preferred Qualifications
    • Knowledge of Amex platforms is preferred
    • Experience in building and deploying models
    • Experience in working with Agents and associated risks
    Responsible for:
    • Leverage advanced ML techniques to innovate for the next generation of models and drive business growth
    • Conduct case reviews to generate insights for improving the model performance and decision-making processes
    • Collaborate with relevant stakeholders to ensure alignment of analytical and modeling efforts with business objectives, effectively managing stakeholder expectations and communication throughout the project lifecycle
    • Bring in ideas by incorporating external perspectives through reading research papers and identify appropriate use cases to enhance model development and innovation.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    CfrCloud ComputingHivemathematicsgoogle cloud platformdata preprocessingML modelsExpress.jsDeploying ModelsDecision SciencescloudAlgorithmsDeep Learningdata analysisModel DevelopmentData ScienceArtificial IntelligenceMachine Learning

    About American Express

    AMERICAN EXPRESS logo

    AMERICAN EXPRESS

    Financial Services

    22.8k+

    employees

    1850

    176 years old

    Gurgaon / Gurugram, Haryana

    India

    About

    Global payments leader, delivering innovative financial services with $65.9 billion in revenue, empowering consumers and businesses worldwide through trusted products and services.

    Industries

    Financial ServicesRetailTravel & Tourism / Hospitality

    Employee ratings

    3,872 reviews

    4.1/ 5

    Culture

    4.1

    Career growth

    3.3

    Work-life

    4.1

    Employees rate it well for

    Work Life Balance518Work Culture500Senior Management332Salary328Career Growth256

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    Analyst-Data Science · waiting for your command