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For Companies At a Glance
- Tasks: Build analytics that enhance trading performance and inform key decisions.
- Company: Leading global algorithmic trading firm with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make a real impact on trading strategies and work closely with experts.
- Qualifications: Strong TCA background, excellent Python skills, and experience in quant trading.
- Other info: Join a technically serious team with a collaborative culture.
The predicted salary is between 48000 - 72000 ÂŁ per year.
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.
- 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 NumPy, 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
Trading Analytics Specialist | London | Systematic Trading Team in City of London employer: Stanford Black Limited
Contact Detail:
Stanford Black Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Analytics Specialist | London | Systematic Trading Team in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your Python prowess and TCA experience. Share it during interviews to demonstrate your hands-on capabilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of execution analytics and cross-asset trading. Practice coding challenges in Python to ensure you're ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to get noticed. Tailor your application to highlight how your skills align with the role, especially your experience in systematic trading.
We think you need these skills to ace Trading Analytics Specialist | London | Systematic Trading Team in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Trading Analytics Specialist role. Highlight your experience with Transaction Cost Analysis and Python skills, as these are key for us. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading analytics and how you can contribute to our systematic trading team. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in Python, Linux, and SQL. We’re looking for production-quality code, so if you have any projects or examples, make sure to mention them. This is your time to impress us!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Stanford Black Limited
✨Know Your TCA Inside Out
Make sure you brush up on your Transaction Cost Analysis (TCA) knowledge. Be ready to discuss how you've applied TCA in previous roles and how it can impact trading performance. Prepare some examples of how you've used analytics to improve execution outcomes.
✨Show Off Your Python Skills
Since this role requires excellent Python skills, be prepared to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while writing production-quality code. Practise using libraries like NumPy and pandas to showcase your technical prowess.
✨Understand the Trading Environment
Familiarise yourself with the systematic trading landscape and the specific challenges traders face. This will help you engage in meaningful conversations with the interviewers about how your analytics can directly influence trading decisions and portfolio performance.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with insightful questions. Ask about their current analytics processes, how they measure execution quality, or what tools they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.