JP Morgan Chase
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/.
Our Firmwide Risk Function
Our Firmwide Risk function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment.
The LOB Risk Team
The primary aim of this team is to research and develop quantitative models for the Equity Derivatives business, as well as to ensure their compliance with internal policies and industry regulations
Role in the Equity Quantitative Research team, focusing on quantitative strategies and the optimization of trading for Equities desks.
Quantitative skills are at the core of J.P. Morgan’s capabilities, contributing critically to the competitiveness and innovative power of our firm. The team's mission is to develop cutting-edge next generation analytics and processes to transform, automate and improve the trading operations of our Cash, Delta One and Derivatives businesses. We work closely with traders to develop data-driven solutions such as algorithmic strategies (high to low frequency), trading signals, risk models, portfolio optimization, recommendation engines, flow categorization and clustering – and to ultimately combine them into automated trading processes.
We are seeking individuals passionate in areas such as electronic trading, machine learning, reinforcement learning, deep learning, collaborative filtering, recommender systems, optimization, computational statistics, and applied mathematics, with a keen interest to apply these techniques to financial markets and have a transformational impact on the business.
Roles and responsibilities include
Required Skills and Experience:
The ideal candidate will have:
Entrepreneurial spirit and passion for spreading a culture of change towards data-driven decision making
All internal moves will normally take place on the same grade and same salary. Salaries are reviewed annually in February. Exceptions to the rule regarding transfer on current salary may include a move between geographic locations.
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