Quantitative Trading Engineer: Rust, Backtesting & AI

HashKey Liquid Funds; Singapore; On-site; SGD 150,000 - 280,000; Full time

Job summary

HashKey Capital in Singapore is hiring a Quantitative Developer to turn research models into production Rust, build backtesting/simulation frameworks, and develop signal pipelines with robust P&L attribution tooling. You will optimize live strategy safety, diagnose issues, and accelerate delivery using AI coding within a small agile team.

The role emphasizes autonomy, strong programming in Rust (or C++, Go, Java), and proficiency in Python for data analysis and time-series work.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or Statistics or related STEM field.
• 5+ years of relevant experience preferred; strong graduates also considered and will be taught the domain.
• Strong programming in Rust, or C++, Go, or Java with ability to pick up Rust quickly.
• Proficiency in Python for research and analysis, including data stack (pandas or polars, numpy).
• Fundamentals in probability, statistics and time-series analysis for backtest robustness.
• Genuine curiosity about market microstructure and execution cost.
• Attention to correctness and failure cases; ability to spot wrong numbers without errors.
• Track record of finishing work independently with production or open-source contributions.

Responsibilities

• Turn research models into production Rust — including tests and edge cases.
• Maintain backtesting and simulation framework with realistic fill logic.
• Develop signal pipelines that stay consistent offline and online.
• Build P&L attribution and execution-quality tooling for the trading team.
• Manage configuration and parameter systems for live strategies safety.
• Diagnose unexpected strategy behavior by reproducing and narrowing causes.
• Improve research/trading velocity by removing manual steps.
• Leverage AI coding to accelerate delivery and improve code quality.

Skills

Rust

C++

Go

Java

Python

Time-series analysis

Statistics

Market microstructure

Autonomy

Production experience

Education

Bachelor's or Master's in STEM

Tools

Pandas

Polars

NumPy

Backtesting framework

Job description

HashKey Capital in Singapore is hiring a Quantitative Developer to turn research models into production Rust, build backtesting/simulation frameworks, and develop signal pipelines with robust P&L attribution tooling. You will optimize live strategy safety, diagnose issues, and accelerate delivery using AI coding within a small agile team.

The role emphasizes autonomy, strong programming in Rust (or C++, Go, Java), and proficiency in Python for data analysis and time-series work.