Machine Learning and Quant Engineer
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Before you apply
Salary£110k – £200k
LocationLondon
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentMachine Learning & AI
EquityIncluded
Company size51–200 people
PostedJan 12, 2026 · 9mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Jan 12, 202678% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
5+ years experience in quant, ML, or financial modeling
Strong Python skills
Startup experience on core systems
Investment domain knowledge
AI-assisted coding experience
Prior buy-side or sell-side experience
Experience with alternative data
Skills
Python
AI-assisted coding
ML
financial modeling
Benefits
Equity
About the role
You think in time series, signals, and regimes.
You care about insight quality, not academic purity.
You want your models tested by markets, not papers.
If you dislike messy data and real-world constraints, this is not your role.
The Role, In Plain English
You will build quantitative and ML-driven insight systems using structured time series data.
This role exists to turn raw financial data into actionable investor signals.
You will work closely with engineers to productionize quant logic.
What You’ll Be Responsible For
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Develop models using structured financial time series
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Build insight generation and scenario analysis pipelines
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Collaborate with backend engineers to deploy models in production
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Evaluate signals based on real investor outcomes
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Improve attribution and explainability
What “Good” Looks Like in This Role
After 3 months:
Shipping signals used internally.
After 6 months:
Signals used by customers.
After 12 months:
You shape how quant insights are built at Reflexivity.
Who You Are (Must-Haves)
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5 plus years experience in quant, ML, or financial modeling
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Strong Python skills
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Startup experience on core systems
•
Investment domain knowledge
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AI-assisted coding experience
Nice-to-Haves (Not Deal Breakers)
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Prior buy-side or sell-side experience
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Experience with alternative data
How We Work
Hiring process
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In-office team with high trust and high ownership
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Direct communication, minimal process, strong opinions backed by data
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Engineers are expected to think about product impact, not just code
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We move fast when it matters and slow down when correctness matters more
Why This Role Is Worth Your Time
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Direct influence on how professional investors make decisions
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Hard problems at the edge of AI, data, and finance
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Real ownership and technical autonomy
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Senior peers who care about quality and outcomes
Compensation & Practicalities
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Base salary: £110,000 to £200,000 depending on experience
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Equity included
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In-office role based in London
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No agency candidates
Salary Range
£110,000—£200,000 GBP