or apply directly on Engineers Gate's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 28 days Engineers Gate's roles stay open a median of 82 days
- Reposted
- No
- Salary listed
- No 45% of Engineers Gate's roles list one
- Ghost-job risk at Engineers Gate
- high 7 stale, 0 reposted of 11 open
- Hiring momentum
- 12 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-24
Measured from postings appearing on and disappearing from Engineers Gate's own greenhouse board since 2026-08-03. Full hiring picture for Engineers Gate.
About this role
The Quantitative Developer at Engineers Gate will be integral to the London Portfolio Management group, focusing on building and scaling the central infrastructure for trading systems. Responsibilities include maintaining live trading infrastructure, enhancing research platforms, and collaborating with researchers to implement new trading strategies. This role emphasizes continuous learning and offers the chance to work alongside experienced professionals in a collaborative environment.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Engineers Gate as an employer.
What you need
- Undergraduate degree in Computer Science or a related STEM discipline
- Production-level software engineering experience in a high-quality, technology-driven environment
- Solid understanding of algorithms, software architecture, design patterns, and software engineering best practices
- Proficiency in at least one modern programming language (e.g. Python, C++, Java)
- Strong numerical reasoning and problem-solving skills, with the ability to work comfortably with quantitative and scientific problems
Nice to have
- Experience with Python and/or MATLAB for numerical and scientific computing
- Familiarity with AI-assisted development tools
- Experience working with machine learning and quantitative research workflows
- Exposure to cloud platforms, especially AWS
Worth weighing
- The role involves both greenfield projects and enhancing existing systems, which may require adaptability to legacy code
- The emphasis on continuous learning suggests a dynamic environment but may also imply a steep learning curve for new technologies
Summarised from Engineers Gate's posting. Read the full original.
Listed by Engineers Gate on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.
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