Quantitative Developer

Sryantra Capital; New York (NY); On-site; USD 180,000 - 270,000; Full time

Job summary

Sryantra Capital in New York seeks a quant/software engineer to take research ideas to production in high-fidelity backtesting and live trading systems across CeFi/DeFi venues.

You will design low-latency C++/Python software, build pricing and risk models with traders, and collaborate across research and engineering in a meritocratic, results-driven culture.

Qualifications

• Degree in a quantitative field (CS/Math/Engineering/Physics)
• Strong production experience in C++ and Python (3+ years)
• Experience writing performance-sensitive, low-latency code
• Solid grounding in probability, statistics, and time-series analysis
• Comfort with data workflows (Pandas, Polars, NumPy) and backtesting/simulation frameworks
• Ability to work cross-functionally between research and engineering
• Fluency in English is required

Responsibilities

• Build and maintain systems spanning research to production, moving ideas from notebook to live trading.
• Design high-fidelity backtesting and simulation infrastructure modeling latency and real-world constraints.
• Own signal and feature pipelines end-to-end from research to execution.
• Develop exchange connectivity, order management, and market-data infrastructure across CeFi and DeFi venues.
• Optimise performance-sensitive code and debug across research and execution environments.
• Build pricing and risk models—vol surfaces, yield curves, 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.

Skills

C++

Python

Low-latency coding

Probability & statistics

Time-series analysis

Pandas/NumPy

Cross-functional collaboration

English fluency

Education

Bachelor's or higher in CS/Math/Engineering/Physics/Quantitative field

Tools

Pandas

Polars

NumPy

Job description

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.

What You Bring

• 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, NumPy) and backtesting or simulation frameworks.
• The ability to work cross-functionally between research and engineering.
• Fluency in English is required.

Nice to Have

• 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.

What You'll Get

• 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.