Quantitative Developer

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

Quantitative Developer

Singapore HashKey Capital

Key Responsibilities

• Turn research models and prototypes into production Rust — quoting, hedging and inventory logic — including the tests and edge cases a prototype skips
• Build and maintain the shared backtesting and simulation framework, with fill logic that reflects queue position, latency, fees and market impact
• Develop signal and feature pipelines that compute consistently offline and online, so a signal means the same thing in research as in production
• Build the P&L attribution and execution-quality tooling the trading team relies on, including markout and adverse-selection analysis
• Build and maintain the configuration and parameter systems that make changes to live strategies safe, reviewable and reversible
• Diagnose unexpected strategy behavior — reproducing it and narrowing it to model, parameters, market regime or venue
• Improve research and trading velocity by removing the manual steps that slow the team down
• Actively leverage AI coding as a core part of the development workflow to accelerate delivery and improve code quality

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Statistics, or a related STEM field
• Five years of relevant experience is preferred — strong graduates are in scope, and we expect to teach the domain
• Strong programming ability in Rust, or in C++, Go, or Java with the demonstrated ability to pick up Rust quickly
• Proficiency in Python for research and analysis, including the data stack (pandas or polars, numpy)
• A working grounding in probability, statistics and time-series analysis — enough to assess whether a backtest result is robust
• Genuine curiosity about market microstructure: order book dynamics, fill quality and execution cost
• Attention to correctness and failure cases, including the instinct to catch a wrong number that does not raise an error
• A track record of finishing work independently — production experience, open-source contributions, or competitive programming results — and comfort with autonomy and rapid iteration in a small team

Preferred

• Experience supporting a trading desk, research team or market-making book as an engineer, in any asset class
• Hands-on crypto trading experience, professional or personal
• Familiarity with perpetual funding, basis and cross-venue pricing
• Familiarity with DEX mechanics — AMM and concentrated-liquidity design, EVM, MEV
• Experience building or maintaining backtesting or simulation frameworks used by others