Python Engineer, Quant

Ambition Singapore; Singapore; On-site; SGD 120,000 - 240,000; Full time

Benefits offered by this job

Direct exposure to Quants and PMs

High-impact engineering culture

Opportunity to work on complex real‑世界

Job summary

Ambition Singapore is seeking a developer to design, build, and optimise scalable infrastructure that supports quantitative research, market data processing, and systematic trading strategies.

You will work directly with Quants and Portfolio Managers to develop high-performance trading systems in a fast-paced engineering culture, leveraging Python, Rust, and/or C++, with familiarity in AWS, Kafka, Kubernetes, and Redis.

Qualifications

• 3+ years of software engineering experience in a financial space
• Strong in Python and/or Rust (C++ advantageous)
• Experience with Equity Volatility systematic trading platform
• Exposure to arbitrage strategies and market data systems
• CI/CD, DevOps, Agile methodologies

Responsibilities

• Design, build and optimise scalable infrastructure for quantitative research, market data processing and systematic trading strategies
• Collaborate with Quants and Portfolio Managers to deliver high-performance trading systems
• Contribute to a fast-paced, high-impact engineering culture and real-world financial problem-solving

Skills

Problem-solving

Attention to detail

Financial software experience

Tools

Python

Rust

C++

AWS

Kafka

Kubernetes

Redis

React

Job description

We are partnering with a globally established, technology-driven investment firm focused on systematic strategies and delivering consistent returns across markets. We are looking for a developer to design, build, and optimise scalable infrastructure that supports quantitative research, market data processing, and systematic trading strategies.

Requirements

• More than 3 years of software engineering experience in a financial space
• Strong in Python and/or Rust (C++ advantageous)
• Experience working on Equity Volatility systematic trading platform
• Exposure to arbitrage strategies and market data systems
• Familiar with tools like AWS, Kafka, Kubernetes, Redis, React is a plus
• Understanding of CI/CD, DevOps, Agile methodologies
• Strong problem-solving skills and attention to detail
• Candidates with prior trading (HFT) backgrounds are highly desirable

What's in it for you

• Work directly with Quants and Portfolio Managers
• Build and scale high-performance trading systems
• Fast-paced, high-impact environment with strong engineering culture
• Opportunity to work on complex, real-world financial problems

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D | Licence Number: 10C5117 | EA Registration Number: R23115372