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Quant Developer

Mathrix Open · verified Oct 24, 2026
On-site Singapore, Central Singapore, Singapore Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Mathrix. Singapore, Central Singapore, Singapore · full-time.

Pay not stated Data Science salary

RoleData Science
SeniorityMid-level
LocationSingapore, Central Singapore, Singapore
WorkplaceOn-site
EmploymentFull-time
PostedJun 9, 2026 · 4mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build software and models that support automated trading strategies
  • Write code and create systems for handling intricate data and workflows
  • Investigate projects, research options, backtest ideas and implement solutions for trading strategies
  • Keep code accurate and follow strict practices to reduce the chance of errors

What you bring

  • A master's in physics, mathematics, computer science or an equivalent field, with top academic results
  • Strong ability across programming languages and comfort using Linux or Unix command-line tools
  • Experience using Git or another version control approach

Who this fits

This full-time role is based on-site in Singapore and suits a mid-level developer who enjoys combining practical problem-solving with technical work. You’ll need to communicate clearly, work well with teammates and stay flexible under pressure. Strong skills or achievements in other areas may also help offset somewhat lower grades.

From the employer

Your job

In our line of work, we face mathematical and data-related challenges on a daily basis, that need to be solved with code that runs 24/7 in a highly demanding environment. As a Quant Developer you are developing software and models that are crucial components in our automated trading strategies. You spend a lot of time writing code and creating systems that can handle complex data and complex processes. The work entails a combination of technical and practical aspects to find the best solutions for our trading strategies. To do so, you ask the right questions, analyse the projects, do your research, backtest and implement solutions.

Who are you

  • You have a Master’s degree in Physics, Mathematics or Computer Science or equivalent, with exceptional grades*

  • Highly proficient in various programming languages

  • Comfortable in a Linux/Unix environment (commandline, SSH, etc.)

  • Experience with version control (git)

  • Accurate coder who works with strict coding practices to minimize the risk of errors

  • Teamplayer, easy and clear communication

  • Pro-active, flexible and stress-resistant

*Minimum requirements are: (i) attending or having graduated from a top university, typically NUS, NTU, SMU, or a similarly selective university globally / in Asia-Pacific, and (ii) top-tier grades, such as SG: GPA ≥4.5/5.0 or ≥3.6/4.0; UK: ≥70%; US/Canada: GPA ≥3.7/4.0; HK: First Class or GPA ≥3.6/4.0; CN: ≥85/100; IN: ≥8.5/10; AU/NZ: H1 / High Distinction, or equivalent. We value a well-rounded approach to talent assessment. While we have baseline expectations for academic performance, we understand that grades alone do not fully capture a candidate's potential or abilities. Therefore, we also welcome applicants who demonstrate exceptional skills, experience, or achievements in other areas that complement or compensate for slightly lower academic grades.


What we offer

  • Excellent remuneration (including discretionary bonus)

  • Fun and inspiring work environment

  • Experienced and knowledgeable colleagues

  • 20 vacation days

  • Additional benefits: going out for dinner regularly, Friday afternoon drinks, yearly office trip(s), monthly meal allowance

Opportunity

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 work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.