Electronic Trader Analyst
New todayGreenwich, United StatesA fast-growing quantitative trading firmRef KQ-14ACD1
TradingOptions and volatilityBachelors
$135k – $150k
Advertised base
Employer-stated salary
New today
View opportunityLive vacancy · Ref KQ-913DA3
Campus Quantitative Trader (Full-Time)
An established proprietary trading firm · London, United Kingdom · first seen today
What is the Campus Quantitative Trader (Full-Time) role in London, United Kingdom?
An established proprietary trading firm is hiring a Campus Quantitative Trader (Full-Time) in London, United Kingdom. It is a Graduate level quant trader seat, and the advert asks for Probability.
Indicative base
£85k – £115k
KnowQaunt benchmark band
Location
London, United Kingdom
Role family
Quant Trader
Graduate
Education
Not stated
Status
Open
Ref KQ-913DA3
First seen
today
Verified today
Early signaln=14
Benchmark sample for this role: 14 live vacancies across 5 employers, last confirmed 6 September 2026. Each vacancy is verified first-party and classified by a published rule set you can inspect.
Why this opportunity stands out
- Verified first-party, with a dated audit trail on our validation page.
- Re-checked every six hours; filled roles are removed automatically.
- Median advertised base for this role is $150k – $225k (14 samples).
- Apply confidentially; your CV is never forwarded without permission.
About the employer
This vacancy is with an established proprietary trading firm. We hold the employer's identity confidential until we have spoken with you about the role, so the advert below is written by our research team from the facts stated in the live posting - never copied from it.
What you would do
- ·Own quant trader work end to end, from idea to production.
- ·Work directly with traders, researchers and engineers on the same P&L.
- ·Measure, monitor and defend the performance of what you build.
- ·Publish your reasoning so decisions can be checked by other people.
What they are asking for
- ·A strong quantitative background - mathematics, statistics, physics, computer science or equivalent.
- ·Practical experience with Probability.
- ·Comfort with probability, statistics and precise reasoning under time pressure.
- ·Evidence of shipping work that other people relied on.
Skills in this advert
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