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. Further information about J.P. Morgan is available at http://www.jpmorgan.com/.
About the Role:
Quantitative skills are at the core of J.P. Morgan’s capabilities, contributing critically to the competitiveness and innovating power of our firm. 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 advanced electronic trading solutions to our clients worldwide.
We are seeking individuals passionate in areas such as machine learning, reinforcement learning, deep learning, computational statistics, and applied mathematics with a keen interest to apply these techniques to the financial field and have a transformational impact to the business.
On top of electronic trading, we also work closely with trading desks to develop statistical arbitrage strategies and provide data-driven solutions to their business processes such as recommendation engines, flow categorization and clustering, and inventory optimization.
Roles and responsibilities include the following:
The ideal candidate will have:
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