Quantitative Strategist - Global Equities and Options and Crypto
About the company:
Quadeye is an algorithmic trading
firm operating across all major financial markets and exchanges. We specialize
in transforming deep market insights into sophisticated, automated trading
strategies across diverse asset classes. By combining advanced mathematical
models with cutting-edge technology, we build scalable, resilient, and
high-performance trading systems. Our meritocratic culture empowers engineers
and researchers to take complete ownership, drive innovation, and make a direct
impact on trading performance. With access to world-class infrastructure,
mentorship, and real-time feedback, our team thrives on solving some of the
toughest problems in quantitative finance.
Role Overview:
We are seeking experienced
Quantitative Strategists to design, implement, and optimize data-driven trading
strategies for global markets. You’ll work with large datasets, apply advanced
statistical and machine learning techniques, and write high-performance code
for live deployment.This role offers full ownership of the strategy
lifecycle—from research to production—within a fast-paced, collaborative
environment. If you're passionate about markets, coding, and making real-time
impact, this is the role for you.
What You'll Work On:
- Using cutting edge statistical and machine learning
techniques to identify opportunities from terabytes of data
- Design and implement trading strategies into a
highly-optimized and nimble code
- Productionize your strategies; investigate, observe
and devise new ideas for better and faster predictions
What We're Looking For:
- Engineering degree in Computer Science or equivalent
from Premier Institutes
- Good problem-solving skills and quantitative aptitude
- Strong background in data structures, algorithms and
object-oriented programming, preferably in C++ or C
- Ability to manage multiple tasks in a fast-paced
environment
- Strong work ethics and communication skills
- Working knowledge of Linux
- Knowledge of R, Python or Perl is a plus