Senior Quantitative Developer - LONDON UK
Park Lane Recruitment Ltd · W1A1AA · posted 5 days ago
Going rate £54,900UK median £60,288
Home Office going rates from
Occupation
2133IT business analysts, architects and systems designers
Going rate for this occupation: £54,900 · UK median pay £60,288
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£250,000 to £600,000stated · above the range ONS published
- Going rate£54,900
- UK median£60,288
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £35,504 |
| 25th | £45,860 |
| 50th | £60,288 |
| 75th | £81,932 |
| 90th | £100,418 |
| Going rate | £54,900 |
| UK median | £60,288 |
Sponsorship
Sponsorship chance
Very high
- The advert offers sponsorship
- Occupation is eligible for Skilled Worker
- Salary clears the going rate
On the public records we hold, sponsorship for this role looks likely: the advert offers sponsorship, and occupation is eligible for Skilled Worker.
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Bachelor's Degree in Computer Science, Maths, Statistics, or Operation Research £120k - £160k+ base (£250,000 - £600,000 overall) London (office based)
Senior Quantitative Developer
- LONDON UK
Remote Status - No Remote Client Willing to Sponsor - Yes MUST HAVE - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research AND from a top 20 internationally ranked university Relocation Paid - Yes Recruit From UK only Overall Earnings Potential: £250,000 - £600,000 Job Description Quantitative Developer - Systematic Trading (London) A leading systematic investment firm, managing over $6 billion in assets, is spinning out from the quantitative division of a globally recognized hedge fund to become an independent investment firm. This is a rare opportunity to join during a major growth phase and help build the firm's long-term technology platform. What the work covers:
Designing and operating systems that deliver real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing up toolchains for new asset classes or trading strategies - the kind of foundational work where you're defining what needs to exist Working across boundary of research and production - ensuring that what quants build in notebooks can actually run reliably at scale The technology is primarily Python, with C++ where performance demands it. The infrastructure runs across both on-premises systems and cloud. ML is used as one tool among many - this is a systematic shop, not an AI-first fund. Qualifications
Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research
only
AND from a top 20 internationally ranked university You have real buy-side experience
- or experience in an environment with similar standards. You've worked at a
systematic fund, a quant trading firm, or you've transitioned from a top tech company and proven yourself in a trading environment. People from firms like the ones you'd expect are what they're looking for. They are looking for people from top tech or quant companies, NOT Banks. You are a strong Python Engineer with good C++.
Information from public records, not immigration advice.