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Trading Analytics Specialist Systematic Trading Team

Job in London, Greater London, EC1A, England, UK
Listing for: Stanford Black Limited
Full Time position
Listed on 2025-12-15
Job specializations:
  • Finance & Banking
    FinTech, Data Scientist
  • IT/Tech
    Data Analyst, FinTech, Data Scientist
Job Description & How to Apply Below
Position: Trading Analytics Specialist |  | Systematic Trading Team

Trading Analytics Specialist | London | Systematic Trading Team

A leading global algorithmic trading firm and electronic market maker, delivering liquidity, execution, and prime services to institutional clients worldwide. Their proprietary technology underpins fully systematic, cross-asset trading strategies operating at scale across global markets

The Opportunity:

  • We’re hiring a Trading Analytics Specialist to join the systematic quantitative trading programme. You’ll sit close to the trading desk, building analytics that directly inform execution quality, trading decisions, and portfolio performance.
  • This is a hands‑on role at the intersection of trading, analytics, and production‑grade engineering, with real influence over how strategies are evaluated and improved.
  • Sit directly alongside traders and researchers, not in a back‑office analytics function
  • Work on analytics that directly impact execution and PnL
  • Exposure to systematic, cross‑asset trading at meaningful scale
  • Technically serious environment with strong engineering and research culture

What You’ll Do:

  • Build and evolve execution analytics to assess trading performance and costs across asset classes
  • Develop scalable, production‑ready analytics pipelines used by traders and researchers in Python
  • Perform and oversee cross‑asset Transaction Cost Analysis (TCA)
  • Work closely with traders, quant researchers, and risk teams to improve execution outcomes
  • Support both algo and high‑touch trading workflows

Qualifications:

  • Strong background in Transaction Cost Analysis (TCA) across multiple asset classes
  • Excellent Python skills (production‑quality code) with Num Py, pandas etc
  • Solid working knowledge of Linux and SQL
  • Experience in a quant trading or systematic investment environment
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Finance
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