17 May

Associate Opa Spg Machine Learning Gmg Mumbai Jobs Vacancy in Morgan Chase Mumbai

Position
Associate Opa Spg Machine Learning Gmg Mumbai
Company
Morgan Chase
Location
Mumbai MH
Opening
17 May, 2018 7 days ago

Morgan Chase Mumbai urgently required following position for Associate Opa Spg Machine Learning Gmg Mumbai. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Associate Opa Spg Machine Learning Gmg Mumbai Jobs Vacancy in Morgan Chase Mumbai Jobs Details:

Global Markets:
Quantitative Developer
Analyst / Associate
J.P. Morgan’s Global Markets Group (GMG) in Mumbai was set up in 2013 as an extension of the Firm’s global markets teams around the world. GMG is a fast growing team covering multiple asset classes across geographies. GMG provides in-depth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight.

This position is a part of the newly set-up MGG Ongoing Performance Assessment team within the Global Markets Group. The Mumbai team would work in sync with the New York team on assessing performance of quantitative models used throughout the firm, including pricing models, risk models, and empirical forecasting models used in major lines of business, including Corporate Investment Bank, Consumer Banking, and Corporate Risk. Team members have opportunities for exposure to a variety of projects and models used extensively within the bank.

Primary Responsibilities

  • Design and implement Python-based algorithms within the firm’s proprietary framework (Athena).
  • Write reusable, testable, and efficient code.
  • Develop innovative machine-learning models to perform validation of time-series data.
Essential Skills

  • Programming:
    • Excellent in algorithms and problem-solving skills.
    • Ability to write efficient code in any of the object-oriented languages such as C++ or high-level languages such as Python.
    • Good understanding of overloading, overriding, various polymorphism cases, templates and generic programming.
    • Basic understanding of design patterns.
  • Communication: Excellent written and verbal communication skills as the frequent sync-ups with the New York team would be required.

Desired Skills

  • Quantitative and Analytical Skills: Good knowledge in probability theory, statistics, econometrics and numerical analysis. Highly analytical bent of mind.
  • Background in Machine Learning: Great opportunity to work in the Machine Learning space.
  • Knowledge of Derivatives: Decent expertise on derivatives theory with good understanding of Greeks (Delta, Gamma, Theta etc.) and other risk components.

Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute with 1-5 years of experience. A computer science or mathematics background would be most suitable.


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17May

Associate Opa Spg Machine Learning Gmg Mumbai Jobs Vacancy in Morgan Chase Mumbai. Morgan Chase Mumbai opening great career opportunity and jobs vacancy for Associate Opa Spg Machine Learning Gmg Mumbai position. This jobs vacancy will be open for new jobs applicant starting for 17 May, 2018. Background in Machine Learning:. Great opportunity to work in the Machine Learning space. GMG is a fast growing team covering multiple asset classes across... ... Continue reading -->