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Job Location | Mumbai City |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | General / Other Software,Quality (QA-QC) |
EmploymentType | Full-time |
Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.OpportunityWe are looking for a fresh/experienced Quantto join our team in Mumbai. The Rates Modeling QR team works closely with different stakeholders in the Global QR Rates team to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals. In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career. We make reasonable accommodations for applicants and employees religious practices and beliefs, as well as any mental and physical health needs or particular family considerations.If you are passionate, curious and ready to make an impact, we are looking for you.Your ImpactYou ll contribute to the firm s product innovation, effective risk management, financial risk controls. Specially, you ll have the chance to:
Keyskills :
item response theoryhigh performance computingstrong interpersonal skillspartial differential equationscode designfixed incomemarket makingdata analyticsfinancial riskrisk management