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Associate CCB Business Modeling

3.00 to 7.00 Years   Bangalore   03 May, 2021
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Responsibilities:In this role, you will research and develop AI / ML applications to accelerate the innovation and efficiency in business modeling across the Finance organization at JPMorgan Chase. Your duties will include:

  • Research cutting-edge ML/AI methodologies and able to quickly prototype to prove concept to business stakeholders
  • Lead the new ML initiatives to enhance JPMorgan Chase s modeling ecosystem
  • Communicating results across audiences throughout JPMorgan Chase
  • Actively contributing to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group
  • Examples of projects that you could be working on include:
    • Model-based automatic machine learning
    • Machine Learning Explainability for risk control
    • Scalable Machine Learning / Big data framework
    • Agent task-planning for operation automation
    • ML product management
Qualifications:
  • Candidates should have a PhD/MS in a quantitative/engineering field of study, such as computer science, data science, statistics, applied math, and a sound foundation in one or more of the following technical disciplines:
  • Strong machine learning theory foundation and end-to-end machine learning development experience (specialty in NLP, computer vision, reinforcement learning is a plus)
  • Strong programming / development skills in Python or R or Scala (Theoretical knowledge in computer runtime efficiency is a plus)
  • Proficient in big data processing with tools like Spark Hadoop and Unix operation system
  • Experienced in hosting / maintaining ML applications (Knowledge in container service is a plus)
  • In addition, good candidate should have be deeply curious and highly motivated, and be able to effectively communicate complex concept with non-technical stakeholders.
  • No requirement on previous financial industry experience.
  • Should be flexible with EMES shifts
,

Keyskills :
big datadata sciencedata processingcomputer visionlearning theorycomputer sciencemachine learningbusiness modelingcommercial modelsreinforcement learningBusiness Modeling

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