Quantitative Researcher - USA
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Apply to Quantitative Researcher - USA at QuadeyeJob details
- Location
- New York City, New York
- Work type
- Onsite
- Posted
- 1 week ago
- Apply on
- quadeye.zohorecruit.in
About this role
About Quadeye
Quadeye is an algorithmic trading firm operating across
major global financial markets and exchanges. We combine quantitative research,
advanced mathematical modeling, and high-performance technology to develop
sophisticated, automated trading strategies across diverse asset classes.
Our teams work at the intersection of markets,
mathematics, statistics, and technology, with significant ownership across
the entire strategy lifecycle—from research and ideation to implementation,
deployment, and optimization.
We offer a highly meritocratic environment where talented
researchers and engineers have the opportunity to work on challenging problems,
access world-class infrastructure, and see the direct impact of their work on
live trading performance.
The Role
We are looking for Quantitative Strategists with 1+ years
of relevant experience to develop, implement, and optimize data-driven
trading strategies across global markets.
You will work with large-scale datasets, apply statistical
and machine learning techniques to identify trading opportunities, and
translate research ideas into robust, high-performance production systems.
This is a high-ownership role where you will be involved
across the full strategy lifecycle:
Research → Signal Development → Backtesting →
Implementation → Production → Optimization
What You'll Do
- Research
and develop quantitative trading strategies using large-scale financial
and market datasets.
- Apply
statistical modeling, machine learning, and quantitative techniques to
identify and exploit market opportunities.
- Develop
robust and efficient trading models and translate research ideas into
production-ready systems.
- Write
clean, optimized, and scalable code for live trading environments.
- Analyze
strategy performance and continuously identify opportunities to improve
prediction accuracy, execution, and performance.
- Work
closely with quantitative researchers, traders, and engineers to develop
and deploy new strategies.
- Investigate
live strategy behavior, diagnose performance issues, and iterate rapidly
based on real-time feedback.
Requirements
What We're Looking For
- 1+
years of professional experience in quantitative trading, quantitative
research, systematic trading, financial modeling, or a closely related
field.
- Bachelor's,
Master's, or PhD degree in Mathematics, Statistics, Electrical
Engineering, Physics, or a related quantitative discipline.
- Strong
academic background from a top-tier university / Tier-1 institution.
- Exceptional
problem-solving and quantitative aptitude.
- Strong
programming skills in C++ or C; proficiency in Python is a plus.
- Solid
understanding of statistical modeling, probability, and data analysis.
- Experience
working with large datasets and developing data-driven models.
- Working
knowledge of Linux/Unix environments.
- Ability
to work independently, manage multiple priorities, and operate effectively
in a fast-paced environment.
- Strong
communication skills, intellectual curiosity, and a high level of
ownership.