At a Glance
- Tasks: Build and enhance a cutting-edge European Equity algorithmic trading product.
- Company: Join a leading firm in the financial technology space with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the fast-paced world of algorithmic trading.
- Qualifications: Expertise in equity markets and algorithmic trading is essential.
- Other info: Dynamic team environment with strong potential for career advancement.
The predicted salary is between 54000 - 84000 £ per year.
Responsibilities
- Building out a sophisticated European Equity algorithmic product working closely with the global algorithmic trading product, research and development team.
- Act in the capacity of product specialist to help sales team pitch the product to European clients.
- Understanding the competitive landscape, analysing strengths and weaknesses of the BestEx Research products, analysing client pain points and translating to a roadmap for the product and building concrete requirements.
- Understanding clients trading workflow with BestEx product end to end and help improve the processes.
- Provide execution services and support to clients as we grow the product and expand the team.
- Running Transaction Cost Analysis (TCA) of the product, developing a good understanding of BestEx Research algorithms and TCA framework, and coming up with ways to improve the product performance.
- Develop good understanding of clients order flow and risk aversion; tailor and optimise the algorithms for clients unique requirements and order flow.
- Managing relationships with trading venues, upstream vendors, downstream broker-dealer and other liquidity partners.
- Keeping abreast of market structure changes and the liquidity landscape, evaluating the impact of those changes on our product suite and recommending solutions to benefit from those changes.
Qualifications
- Expert level understanding of the equity market structure in Europe.
- Expert level understanding and experience with algorithmic trading, ideally in capacity of designing execution algorithms.
- Expertise in transaction cost analysis, and a good understanding of drivers of trading costs.
- Experience with data analysis languages such as R or Python.
- Good understanding of data science.
- Excellent communication skills and ability to present complex technical ideas to clients.
- Good relationship with the sell-side and buy-side firms is a plus.
- Prior experience in coding production level software is a plus but not required.
- Good understanding of back office functions is a plus but not required.
- Bachelor’s or Master’s degree in Engineering or a quantitative field.
European Equity Electronic Trading Product Manager in London employer: BestEx Research
Contact Detail:
BestEx Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land European Equity Electronic Trading Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in algorithmic trading or equity markets. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! If you’ve got experience with R or Python, consider creating a small project or analysis that showcases your understanding of transaction cost analysis. Share it on LinkedIn or during interviews to impress potential employers.
✨Tip Number 3
Stay updated on market trends! Follow relevant news and reports about European equity markets and algorithmic trading. This knowledge will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talent, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace European Equity Electronic Trading Product Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with algorithmic trading and equity markets, and don’t forget to mention any relevant projects or skills that align with what we’re looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our product!
Showcase Your Analytical Skills: Since we’re all about data analysis, make sure to include examples of how you’ve used R or Python in your previous roles. We want to see how you can bring those skills to improve our products and processes.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at BestEx Research
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithmic trading, especially in the context of European equity markets. Be ready to discuss specific algorithms you've worked with and how they can be tailored to meet client needs. This will show your expertise and help you connect with the interviewers.
✨Understand Client Pain Points
Familiarise yourself with common challenges clients face in trading workflows. Prepare examples of how you've identified and addressed these issues in the past. This will demonstrate your ability to translate client needs into actionable product improvements.
✨Showcase Your Data Skills
Since data analysis is key for this role, be prepared to discuss your experience with languages like R or Python. Bring examples of how you've used data to drive decisions or improve product performance. This will highlight your analytical skills and technical proficiency.
✨Build Relationships
Highlight any existing relationships you have with sell-side and buy-side firms. If you don’t have direct experience, talk about how you would approach building these relationships. This shows that you understand the importance of networking in this industry and are proactive about it.