Quantitative Developer
At a glance
Mid-level Data Science role at QCP. Singapore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain trading-system components for execution, order handling, exchange links, market data, pricing, risk and backtesting
- Turn traders’, quants’ and portfolio managers’ needs into software, then improve your code through detailed reviews
- Develop and debug software on Linux, and help the wider team investigate production problems
- Use modern development tools, including AI coding agents, in a team that deploys software daily
What you bring
- A computer science, mathematics, engineering or financial engineering degree, with graduation approaching or up to two years of experience
- Strong coding ability in Java, Python, C# or Rust, or the capacity to learn a new programming language quickly
- A solid grasp of data structures, algorithms, threading and concurrency
- Completed work demonstrated through an internship, open-source contribution, coursework or personal project
Who this fits
This role suits an early-career developer interested in trading and financial markets, who enjoys building software alongside traders and quantitative colleagues. You’ll work onsite in Singapore and collaborate in a fast-moving team with daily deployments.
From the employer
QCP is Asia's leading digital asset partner, empowering clients to seamlessly integrate digital assets into their portfolios.
We offer a comprehensive range of solutions - from spot on/off ramping and fixed income strategies to vanilla options and bespoke exotics.
Driven by the vision to be the most trusted partner in digital asset markets, we provide innovative solutions that make digital assets a core component of every portfolio, balance sheet, and treasury.
Since our founding in 2017, we have witnessed the potential of digital assets to transform financial markets and the world at large. We exist at the centre of change, successfully navigating three market cycles and bridging institutional and crypto ecosystems.
We work to build trusted partnerships, putting client success and care at the heart of everything that we do.
Responsibilities
- Build and maintain components of our trading systems and supporting infrastructure, across execution and order management, exchange connectivity, market data, pricing and risk, and backtesting
- Work alongside traders, quants and portfolio managers to understand what they need and build it
- Write high-quality, maintainable, and efficient code, and learn from thorough code review
- Develop and debug software in a Linux environment
- Help investigate and resolve production issues, with support from the wider team
- Make good use of modern tooling, AI coding agents, and development practices
- Collaborate with team members in a fast-paced environment with daily deployments
- Take on additional engineering tasks as required by the team
Requirements
- Bachelor's or Master's in Computer Science, Mathematics, Engineering or Financial Engineering, graduating soon or with up to two years of experience
- Strong programming ability in at least one of Java, Python, C# or Rust; we are open to candidates from any language background who can pick things up quickly
- Strong understanding of data structures and algorithms
- A working grasp of threading models and concurrency
- Evidence that you can build things and finish them, whether through internships, open-source contributions, coursework or your own projects
- Genuine enthusiasm for agentic development and working alongside AI coding agents
- An interest in trading and financial markets, however it has come about
- Ability to work effectively in a collaborative, fast-moving environment
Benefits
The Environment We Offer
As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.
Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.
We also provide flexible working arrangement as required and a casual and fun environment to boot!
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.