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For Companies At a Glance
- Tasks: Shape a cutting-edge European equity trading product and solve client trading challenges.
- Company: Specialist trading technology firm focused on algorithmic trading and execution analytics.
- Benefits: Competitive salary package and the chance to work in a dynamic environment.
- Other info: Engage closely with clients, sales, and engineering teams for innovative solutions.
- Why this job: Make a real impact on trading outcomes and collaborate with top industry professionals.
- Qualifications: Experience in algorithmic trading, TCA, and strong analytical skills using Python or R.
The predicted salary is between 70000 - 90000 £ per year.
Overview
- Company: Electronic trading technology, execution analytics, algorithmic trading.
- Impact: Execution quality, algorithm performance, client trading outcomes.
- Size: Specialist trading technology firm.
- Focus: European equities, algo trading, TCA, market structure.
- Location: London.
- Working Pattern: On-site.
- Offer: Competitive package.
The Role
Some product jobs are really project management jobs with a better title. This isn’t one of them. You’ll be close to the trading problem: how European equity orders behave, where execution costs appear, how algorithms perform, and what clients need when they’re trying to trade better. You’ll work on a sophisticated algorithmic execution product used by hedge funds, asset managers, CTAs and banks. The product sits across execution algorithms, TCA, pre-trade analytics, trading workflows and client-specific optimisation. You won’t just write roadmap tickets. You’ll help shape the product from real market feedback, client pain points, order flow behaviour, venue changes and performance data. You’ll also sit close to sales, research, engineering and clients, so this will suit you if you like being the bridge between trading, product and technology.
You’ll get to:
- Build out a European equity algorithmic trading product.
- Turn client trading problems into product requirements.
- Use TCA and performance data to improve execution outcomes.
- Work with research and development teams on algo behaviour and product improvements.
- Support client conversations where deep product and market knowledge matters.
- Stay close to European market structure, venues, liquidity and regulation changes.
What makes you a great fit:
- You understand European equity market structure properly, not at headline level, but how it affects execution.
- You’ve worked with algorithmic trading, ideally around execution algos, product design, trading workflows, quant research, electronic trading or execution consulting.
- You’re strong with TCA and understand what drives trading costs.
- You can analyse data using Python, R or similar.
- You can explain complex trading and technology ideas clearly to clients, sales teams, researchers and engineers.
- Bonus points if you’ve coded production software, worked with buy-side or sell-side relationships, or understand post-trade/back-office workflows.
Interview Process: CV Review > Screening call with us > Product / Market Structure Interview > Technical / Research Discussion > Final Interview > Offer. Click Apply and I’ll share the full briefing pack and talk you through the company, product and team confidentially.
European Equity Algo Product Manager employer: Ocean Red
Contact Detail:
Ocean Red Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land European Equity Algo Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in algo trading or European equities. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for your interviews by brushing up on your knowledge of European market structure and algorithmic trading. Be ready to discuss how you can turn client trading problems into product requirements – that’s what they want to hear!
✨Tip Number 3
Showcase your analytical skills! If you’ve worked with TCA or have experience analysing data using Python or R, make sure to highlight that during your conversations. It’s all about demonstrating your ability to improve execution outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to help you every step of the way, so don’t hesitate to reach out if you have questions.
We think you need these skills to ace European Equity Algo Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of European Equity Algo Product Manager. Highlight your experience with algorithmic trading, TCA, and any relevant market structure knowledge. 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 algorithmic trading and how you can contribute to our team. Be specific about your experiences and how they relate to the challenges we face in the European equity market.
Showcase Your Analytical Skills: Since data analysis is key for this role, make sure to mention your proficiency with tools like Python or R. We love seeing examples of how you've used data to drive decisions or improve execution outcomes in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Ocean Red
✨Know Your Market Structure
Make sure you have a solid understanding of European equity market structure. Dive deep into how it affects execution costs and trading behaviour. This knowledge will not only impress your interviewers but also help you articulate how you can contribute to the product's success.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with algorithmic trading and TCA. Brush up on your data analysis skills using Python or R, as you may be asked to demonstrate your ability to analyse performance data. Highlight any relevant projects or experiences that showcase your technical prowess.
✨Bridge the Gap
Emphasise your ability to communicate complex ideas clearly. You’ll need to act as a bridge between trading, product, and technology teams. Prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders in the past.
✨Client-Centric Mindset
Demonstrate your understanding of client needs and how to turn their trading problems into product requirements. Think of specific instances where you’ve gathered client feedback and translated it into actionable insights for product development. This will show your potential to enhance client trading outcomes.