Top-tier financial institution is seeking a seasoned Algorithmic trading Quant with a proven track record across any asset class.
Responsibilities include analyzing time-series data, building tools to study correlations & effectiveness of short term price indicators and portfolio risk analysis. Analysis results will help consult clients on their usage of algorithms and make suggestions when necessary.
Must have at least two years of Quant work experience preferably within the area of high frequency trading and/ or statistical arbitrage.
Knowledge, experience and proficiency in the following technologies:
Statistical software packages for time-series analysis
Understanding of database design and ability to build data access queries and tools.
Knowledge of C++ and/ or Java a plus.
Compensation $300,000-$800,000 DOE Must be based and eligible to work in the U.S.
Email MS Word attached resume in confidence to: resumeJP@hrg.net Reference JP57-EFC High Frequency Trader on subject line.
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.
