JPMorgan Chase CIB QR - Quantitative Research - Algo Execution Machine Learning - Associate in New York, New York
About J.P. Morgan
J.P. Morgan has been doing first-class business in a first-class way for more than two hundred years. We have been a leading player in helping companies grow and markets develop throughout our history. We work in collaboration across the globe to deliver the best solutions and advice to meet our clients' needs, anywhere in the world. We operate in 150 countries, and hold global leadership positions across our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients and the firm every day. This is why we are the most respected financial institution in the world - and why we can offer you an outstanding career.
Linear Quantitative Research
Linear Quantitative Research is an expert quantitative modeling group in J.P. Morgan, an unchallenged leader in financial engineering, statistical modeling and portfolio management. With more than 30 analysts worldwide, Linear Quantitative Research partners with traders, marketers and risk managers across all products and regions.
Quantitative skills are a core capability of J.P. Morgan, contributing critically to product innovation, effective risk management and appropriate financial and risk controls. The team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote the advanced electronic solutions to our clients worldwide. We also work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models.
New hires will benefit from both on the job training as well as intensive formal classroom training. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, the Linear Quantitative Research group provides unique growth opportunities for its new interns to develop their abilities and their careers.
Roles and responsibilities include the following:
Developing mathematical models for equities electronic trading algorithms
Evaluating and documenting quantitative methodologies, back-testing and simulating quantitative models
Supporting trading activities by explaining model and algorithm behavior, carrying out scenario analyses, developing and delivering quantitative tools, and supporting analytics including transaction cost analysis
Designing and developing software for analytics and their delivery to systems and applications
Engaging in direct client interaction to promote and market our algorithms
Position is located in New York
No experience in agency algo execution research is required
Proficient in at least one of the object oriented programming, like C++ or Java and good at one of Python, Matlab or R
Good at statistical models
Experience in machine learning is required
Details oriented, self-motivated, eager to learn
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.