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Machine Learning Risk Modeling (Auto Finance) - Associate

3.00 to 7.00 Years   Bangalore   23 Mar, 2023
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaRisk / Underwriting
EmploymentTypeFull-time

Job Description

    You are a strategic thinker, passionate about driving data and modeling insights You have found the right team. In this Auto Risk Modeling Team you would be responsible on the innovation and use of traditional as well as machine learning modeling to identify new opportunities for revenue growth and risk mitigation in the Auto business. Demonstrating expertise in statistics as well as delivery of best practices, you will leverage your deep understanding of machine learning platform and strong analytical acumen to make informed decisions that deliver to each of our businessesIf you are intellectually curious and have a passion for driving solutions across organizational boundaries, you may be the perfect fit for our team.Job Responsibilities
    • Design and develop models to drive impactful decisions for the Auto business throughout the customer lifecycle (e.g., acquisition, pricing, collection, and recovery)
    • 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)
    Required qualifications, capabilities, and skills
    • 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 models
    • At least 3+ year of experience and proficiency in coding (e.g., SAS, Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive)
    Preferred qualifications, capabilities, and skills
    • Experience in interpreting machine learning models is a plus
    • Strong ownership and execution; proven experience in taking models to production
    ,

Keyskills :
risk modelingrisk mitigation

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