JPMorgan Stress Testing Quant Role Associate 

India, Maharashtra, Mumbai 

857194808

Job summary:

Job responsibilities:

• Perform in-depth data analysis, using statistical and machine learning modeling techniques including decision trees, neural networks, to creatively build predictive or explanatory models
• Devise/improve quantitative models on new/existing regression analysis. This includes coding the entire statistical methodology in Python, R
• Create complex codes in Python based internal platform for the implementation of the quantitative as well as qualitative models
• Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner
• Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury.
• Develop metrics and statistical model prototypes that can be used to drive business decisions.
• Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives
• Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools

Required qualifications, capabilities, and skills

• Experience of working on statistical, analytical and machine learning libraries within Python/R.
• Ability to create complex codes from scratch as well as to understand and update already written complex codes in Python
• Knowledge of probability theory, statistics and machine learning would be an advantage.
• Advanced user of MS Office suite, including Word and PowerPoint
• Close attention to detail and ability to work to very high standards
• Strong quantitative and analytical skills
• Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience

Preferred qualifications, capabilities, and skills

• Ideal candidates for these positions would be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives.
• Proven coding experience in any statistical coding platform (preferably Python)
• Strong knowledge of CIB Businesses
• Superior time management and multi-tasking skills to juggle long term projects and daily tasks