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CCB Risk - Machine Learning Risk Modeling - Associate

1.00 to 6.00 Years   Bangalore   25 Apr, 2022
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaFinance / Accounts / TaxRisk / Underwriting
EmploymentTypeFull-time

Job Description

    The Decision Insights machine learning team is focuses on the innovation and use of advanced machine learning modeling, including deep learning, to identify new opportunities for revenue growth and risk mitigation.In this role you will:
    • Design and develop machine learning models to drive impactful decisions
    • Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models, including deep learning architecture on big data platforms
    • Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production
    • Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)
    Qualifications:
    • Ph.D. or Master s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics or Engineering
    • Demonstrated experience in designing, building, and deploying production quality machine learning models
    • Deep understanding of machine learning algorithms (e.g., regressions, XGBoost, CNN, RNN) as well as design and tuning
    • At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)
    ,

Keyskills :
source system analysisbig datadeep learningcomputer sciencemachine learningsenior managementcommercial modelsawsrisksparkcloudhadooppythondesignsciencemarketingmanagement

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