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CIB QR Quantitative Research Wholesale Credit Capital Model Development Associate

2.00 to 5.00 Years   Mumbai City   27 Mar, 2019
JPMorgan
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
Industryanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

  • This position is a Quant profile to support the activities of the Quantitative Research Group (cross asset classes) & Credit globally sitting out in Mumbai.
  • The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firms
  • booking models of exotic structures and also help in developing new models for structures as and when necessary
  • The opportunity is to join our Mumbai team as an associate, or analyst with a focus on implementing calculations in our strategic system, Athena, including risk, PL, and hedging. Candidates directly from university will be considered
Skills:
  • Bachelor s or Master s Degree in Computer Science, Engineering, Statistics, Econometrics, Physics or a related field.
  • 2-5 years of statistical modelling or data science experience. Fresh graduates would be considered as long as the candidate meets the requirements listed below.
  • Experience in handling large amount of panel data, and data cleaning/filtering.
  • Knowledge of statistical methods and models: generalized linear models, time-series analysis, clustering, decision trees, logistic regression.
  • Experience in working in a shared computing environment (Linux) and with version control.
  • Hands on programming in Python and/or R.
  • Prior experience in writing model documents is strongly preferred but not required.
  • Parallel/distributed computing experience a plus.
  • Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable.
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Keyskills :
clusteringcomputer science mathematicsms office javaquantitative research modelerprogramming

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