We are a technology-driven quantitative trading firm operating at the intersection of markets, mathematics, and machine learning. Our edge lies in leveraging advanced statistical models, real-time data processing, and low-latency infrastructure to capture opportunities across global equity and derivatives markets.
At our core, we’re a small and elite team of quants, engineers, and traders obsessed with one thing: compounding edge. We believe in first-principles thinking, ruthless efficiency, and building scalable systems that adapt to ever-changing market regimes. Every line of code and every basis point of alpha matters.
With a flat structure, zero bureaucracy, and full ownership of ideas from research to execution, we empower our researchers to operate like PMs and think like founders. If you’re obsessed with markets, code, and clean data — and you want to see your work directly impact live trading — this is the place for you.
* About the Role
We are seeking a highly motivated and intellectually curious Quantitative Researcher to join our trading team. You will be responsible for designing, testing, and deploying systematic trading strategies in fast-moving financial markets. This role demands a deep understanding of statistical modeling, market microstructure, and hands-on programming skills — especially in C++, which is core to our production research and execution stack.
* Key Responsibilities
Develop, test, and refine alpha-generating strategies across global equities and derivatives.
Analyze large datasets to discover actionable trading signals using statistical and machine learning techniques.
Implement research models and tools in C++ for high-performance simulation and backtesting.
Collaborate with software engineers and traders to bring research to production with low latency and reliability.
Continuously monitor model performance and adapt to evolving market conditions.
* Requirements
Must-Have:
Bachelor’s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field.
Strong proficiency in C++ (11/14/17), with a focus on performance and multi-threading.
Solid understanding of data structures, algorithms, and computational complexity.
Experience working with large datasets and building high-performance systems.
Background in probability, statistics, or time-series analysis applied to financial markets.
Nice-to-Have:
Familiarity with Python for rapid prototyping and data analysis.
Experience in systematic or high-frequency trading environments.
Prior exposure to market data feeds, order books, or exchange APIs.
Experience with backtesting platforms or simulation engines.
* Why Join Us
Work directly with an elite team of quants, engineers, and traders.
Have a measurable impact on real P&L from day one.
Cutting-edge tech stack with low-latency infrastructure.
Competitive compensation, performance-based bonuses, and benefits.
Kindly note that only shortlisted candidates will be notified.
Related Job Searches:
- Company:
Alveria Capital - Designation:
Quantitative Researcher (C++) - Profession:
Engineering - Industry:
Finance - Location:
Singapore River