Major NYC based Investment Bank is looking for a quantitative PhD to model and develop strategies for High Frequency Trading.
As member of an Electronic Trading Research Team, responsibilities will involve researching the microstructure of markets and developing automatic pricing and trading capabilities. The work will involve mining intra day data on prices, volatility and liquidity to model and predict short-term market behavior/opportunities. Applicant should have a PhD Degree in a quantitative discipline emphasizing signal processing, stochastic control, prediction, pattern recognition, machine learning and/or dynamical systems. Strong computer skills are a must. Industry or Academic research experience in modeling market dynamics or pattern recognition for high-frequency data highly desired.
Register online at AnalyticRecruiting.com and refer to Job#281-16514. MS Word attached resume will be requested. Recruiter for this position: Dan Raz, email@analyticrecruiting.com.
A
trade automation, connectivity and compliance solution, the SunGard
Transaction Network (STN) links institutions throughout the financial
services community to facilitate end-to-end transaction processing.
With
more than 4,500 client firms in 60 countries managing more than $12
trillion, Advent has established itself as a leading provider of
mission-critical applications for investment management operations of
all sizes and strategies.
QUMAS
is a global compliance software company offering a complete Enterprise
Governance, Risk and Compliance solution with over 250 customer
deployments.
Belzberg
Technologies has been at the forefront of the electronic trading
evolution from the very beginning, and continues to provide world-class
service, execution and technology to the securities industry.