More jobs:
Quantitative Developer
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-09-05
Listing for:
Sryantra Capital
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
Data Scientist
Job Description & How to Apply Below
You'll sit with traders and researchers and own the software that takes ideas from research to production — high-fidelity backtesting and simulation, signal and data pipelines, exchange connectivity, and the performance-sensitive systems that execute in live markets across traditional and digital assets.
What You'll Do- Build and maintain systems spanning research to production, so ideas move from notebook to live trading quickly.
- Design high-fidelity backtesting and simulation infrastructure that models latency, microstructure, and real-world constraints.
- Own signal and feature pipelines end to end for consistent delivery from research to execution.
- Develop exchange connectivity, order management, and market-data infrastructure across CeFi and DeFi venues.
- Optimise performance-sensitive code and debug issues that span research and execution environments.
- Build pricing and risk models — vol surfaces, yield curves, and analytics — directly with traders.
- Design scalable, real-time trading-analytics platforms embedded on the desk.
- Weigh real-world performance trade-offs when tuning strategies and systems.
- A degree in Computer Science, Mathematics, Engineering, Physics, or a related quantitative field.
- Strong production experience in C++ and Python (typically 3+ years for experienced hires).
- Experience writing performance-sensitive, low-latency code.
- A solid grounding in probability, statistics, and time-series analysis.
- Comfort with data workflows (pandas, Polars, Num Py) and backtesting or simulation frameworks.
- The ability to work cross-functionally between research and engineering.
- Fluency in English is required.
- Prior experience at an HFT or systematic trading firm.
- Crypto/DeFi and CeFi trading-infrastructure experience.
- Exposure to distributed systems, networking, HPC, or machine learning.
- Strong Linux and Git fluency.
- Competitive base salary with a meaningful performance-based bonus.
- Low-latency infrastructure and a modern engineering stack.
- A meritocratic, collaborative culture where the best ideas win.
- Ownership of systems that trade real capital from day one.
- Comprehensive health and wellness benefits.
- Flexibility to work from our Singapore or New York office, or remotely.
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