Overview
On Site
Full Time
Skills
Quantitative Analysis
Front Office
Quantitative Research
Smart Order Routing
Reporting
Algorithms
Dashboard
Trading
Regulatory Compliance
Data Analysis
C++
Java
Perl
Statistics
Computer Science
Physics
Mathematics
Python
Algorithmic Trading
Equities
Analytics
Communication
Collaboration
Job Details
$n/a USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
VP - Quantitative Research (Equities Electronic Trading)
Location: New York
Overview
Join a front-office quantitative research team in New York focused on building and enhancing electronic trading strategies within the Equities business. The group designs and calibrates execution algorithms, develops market analytics and trading signals, and delivers the models and tools that underpin smart-order-routing and best execution.
This is a hands-on VP-level role, reporting directly to the Head of the group.
Key Responsibilities
Onsite WORKING
Location: New York, New York - United States Type: Permanent
VP - Quantitative Research (Equities Electronic Trading)
Location: New York
Overview
Join a front-office quantitative research team in New York focused on building and enhancing electronic trading strategies within the Equities business. The group designs and calibrates execution algorithms, develops market analytics and trading signals, and delivers the models and tools that underpin smart-order-routing and best execution.
This is a hands-on VP-level role, reporting directly to the Head of the group.
Key Responsibilities
- Design, calibrate, and optimize execution algorithms
- Analyze market microstructure and transaction cost data
- Develop and test new trading signals and liquidity metrics
- Run A/B trials to evaluate new algo behaviors
- Build Python/q dashboards and reports for internal monitoring
- Improve and maintain model calibration processes
- Perform post-trade analysis to ensure best execution
- Collaborate with trading, product, technology, compliance, and risk teams
- q/kdb+ for data analysis (preferred)
- Python for tooling and automation (required)
- C++ / Java - reading production code (not required to develop)
- Legacy tooling in Perl/sh (can be learned on the job)
- PhD or Master's in a quantitative discipline (e.g. statistics, computer science, physics, mathematics)
- Strong programming skills (Python, q/kdb+) and solid understanding of statistical methods
- 2+ years in electronic or algorithmic trading (equities preferred)
- Hands-on experience with execution logic, calibration, or market analytics
- Excellent communication skills and ability to collaborate across teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.