Rust Quant Developer — Production Trading Systems

hashkey.capital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

hashkey.capital seeks a production-focused engineer to turn research models and prototypes into Rust-based systems. You will implement hedging and inventory logic, plus the tests and edge cases a prototype skips.

Lead the development of a shared backtesting framework and simulation with realistic fill, latency, and market impact. Build robust signal pipelines and P&L tooling, while ensuring safe live-configuration controls and rapid iteration in a small team.

Qualifications

• Bachelor's or Master's degree in a STEM field.
• Five years of relevant experience preferred; can be new grads with strong domain.
• Strong programming ability in Rust, or C++, Go, or Java with Rust learning ability.
• Proficiency in Python for research and analysis with data stacks.
• Grounding in probability, statistics and time-series analysis.
• Curiosity about market microstructure and execution cost.

Responsibilities

• Turn research models and prototypes into production Rust code.
• Build and maintain backtesting and simulation framework with realistic fill logic.
• Develop signal pipelines that compute consistently offline and online.
• Create P&L attribution and execution-quality tooling for the trading team.
• Maintain configuration and parameter systems for live strategies.
• Diagnose unexpected strategy behavior and improve research-to-production velocity.

Skills

Rust

C++

Go

Java

Python

Time-series analysis

Education

Bachelor's or Master's in CS/Math/Physics/Stats

Master's preferred

Tools

Pandas

NumPy

Polars

Job description

hashkey.capital seeks a production-focused engineer to turn research models and prototypes into Rust-based systems. You will implement hedging and inventory logic, plus the tests and edge cases a prototype skips.

Lead the development of a shared backtesting framework and simulation with realistic fill, latency, and market impact. Build robust signal pipelines and P&L tooling, while ensuring safe live-configuration controls and rapid iteration in a small team.