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Mercor

Quant Researcher - Systematic Trading

United Kingdom
$170 – $220/hr
Posted about 9 hours ago
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About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Finance Expert — Quant Research & Systematic Trading

Type: Contract

Compensation: $170–$220/hour

Location: Remote

Role Responsibilities

  • Develop and assess signal research, point-in-time datasets, backtests, and portfolio-construction methods.
  • Test for look-ahead bias, leakage, survivorship bias, overfitting, and unstable parameter choices.
  • Incorporate transaction costs, market impact, liquidity constraints, and realistic execution assumptions.
  • Apply walk-forward validation, robustness testing, and appropriate performance attribution.
  • Review Python-based analytical workflows and explain methodological strengths and weaknesses.
  • Provide clear written rationales and calibrate work against rigorous research standards.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

Must-Have

  • 3–8 years of relevant experience for the researcher track, or 8–15 years for the senior reviewer track.
  • Professional experience in quantitative research, systematic trading, portfolio construction, or a closely related field.
  • Strong Python skills and hands-on experience building or reviewing backtests.
  • Deep understanding of research bias, data quality, validation, risk, and implementation constraints.
  • Excellent written communication and the ability to explain why a result is or is not trustworthy.

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Preferred

  • Experience approving research for production is especially valuable for the senior track.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Skills

Quantitative Research
Systematic Trading
Portfolio Construction
Python
Backtesting
Signal Research
Risk Management
Data Quality Validation
Performance Attribution
Walk-forward Validation

Location

United Kingdom

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