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CIB - Markets - Quant Trader - Automated Market Making VP

New York City, NY

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CIB - Markets - Quant Trader - Automated Market Making VP','180021818','!*!JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial
services firm with assets of $2.6 trillion and 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 ****

Duties:  Responsible for developing new equities and ETF
market making strategies for JPMorgan’s Automated Electronic Market Making
desk.  Responsible for full life-cycle of
quantitative strategy development, including idea generation using deep
knowledge of equities market microstructure, mathematical finance, and market
making principles; research and back-testing in Python using Big Data high
frequency data sets and mathematical/statistical modelling; Implementation in a
low latency C technology stack. Monitor strategy risk and behavior during
trading hours and provide feedback to developers on areas of improvement and
Post trade validation in Python comparing realized vs simulation outcomes.
Utilize computer science skills to actively work with software developers in
Technology team to translate mathematical models and trading logic into
production quality C code.  Provide
software developers with detailed specifications for desired business logic,
performing code reviews, providing feedback on code design and computation
efficiency, and prioritizing project deliverables.  Perform quality assurance on newly developed
trading software by examining trading logs and verifying correct behavior of
desk’s exchange bound orders. Build and maintain research and back-testing
infrastructure in Python by utilizing open source (Numpy, Pandas) as well as in
house APIs (Athena).  Manage intraday and
overnight risk and PnL of trading strategies using variety of tools.','!*!Minimum education
required: Master's degree or
equivalent in Science, Technology, Engineering (any), Mathematics, or related
quantitative field.


experience required: 3 years of experience in electronic equities trading experience, or
related experience.


Skills required: Must have C software development
experience. Must have nonlinear statistical modelling and optimization
experience. Must have experience working with huge datasets in Python, R, or
equivalent scripting language. Must have demonstrated US Equities market
microstructure knowledge. Must have demonstrated knowledge of ETF pricing and
index arbitrage. Must have experience with risk management and hedging tools.
Must have demonstrated ability to generate novel trading signals based on large
scale statistical analyses. Must have experience utilizing industry Dark Pools
as well as exchange protocols.

 ','JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.','Trading','US-NY-New York-383 Madison / 41039','','CORPORATE & INVESTMENT BANK','Full-time','Standard','Day Job','','J.P. Morgan','J.P. Morgan','','','CIB - Markets - Quant Trader - Automated Market Making VP

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