Quantitative Developer

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

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