Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead product development for AI-driven trading solutions in equities.
- Company: Join a globally renowned high-frequency trading firm with an award-winning culture.
- Benefits: Enjoy a competitive salary, industry-leading bonuses, and access to cutting-edge tools.
- Why this job: Shape the future of trading technology with top-tier talent in a prestigious London office.
- Qualifications: 2+ years in tech solutions for equity investments; strong market knowledge and Python skills required.
- Other info: Collaborate with Directors, Traders, and Analysts to drive impactful projects.
The predicted salary is between 84000 - 196000 £ per year.
Job Title: Product Manager – Equities Technology/PM Tooling Team Location: Central London Client: Global Elite Quant Trading Firm Salary: Up to £140k + Industry Leading Bonus Sells: Cutting-edge AI initiatives, collaboration with top-tier talent, high-impact projects in equities, exposure to long/short strategies, award-winning company culture, prestigious office location. A globally renowned high-frequency trading firm is seeking a talented Product Manager to join their Equities Research Team. This team drives key technological advancements in AI to support the firm’s trading portfolios. Role: Collaborate with the global Equities business unit to interpret and prioritize critical needs. Translate business requirements into detailed technical specifications for development teams. Lead workshops to generate ideas in research, trading, and risk, while managing deliverables, timelines, and priorities. Foster relationships across the business, including Directors, Traders, Risk Analysts, and Portfolio Managers, to identify key needs and challenges. Utilize datasets to guide and influence the strategic product roadmap. Skills: Circa 2 years of experience Proven experience building/ launching technology solutions in the equity investment domain. Strong understanding of equity markets. Familiarity with AI tools and their applications. Solid knowledge of fundamental strategies, research, portfolio construction and risk management Proficiency in Python Why Join? This is a rare opportunity to work at an elite quant fund, shaping the future of trading technology alongside world-class professionals. The firm offers: A highly competitive base salary with performance-based bonuses. Access to cutting-edge tools and platforms. A collaborative and supportive company culture. A prestigious office environment in Central London.
Product Manager - Equities Technology - Up to £140k + Industry Leading Bonus employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Equities Technology - Up to £140k + Industry Leading Bonus
✨Tip Number 1
Make sure to familiarize yourself with the latest trends in AI and how they apply to equity markets. Being able to discuss current advancements and their implications during networking or interviews will set you apart.
✨Tip Number 2
Network with professionals in the equities technology space. Attend industry events, webinars, or meetups where you can connect with people from quant trading firms. Building these relationships can lead to valuable referrals.
✨Tip Number 3
Prepare to showcase your experience in translating business needs into technical specifications. Think of specific examples from your past roles where you successfully bridged the gap between stakeholders and development teams.
✨Tip Number 4
Stay updated on the latest tools and platforms used in equity investment and risk management. Being knowledgeable about these technologies will demonstrate your commitment to the role and your ability to contribute effectively.
We think you need these skills to ace Product Manager - Equities Technology - Up to £140k + Industry Leading Bonus
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and requirements of the Product Manager position in Equities Technology. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: Emphasize your experience in building and launching technology solutions within the equity investment domain. Provide specific examples of projects you've worked on that demonstrate your understanding of equity markets and AI tools.
Showcase Technical Skills: Clearly outline your proficiency in Python and any other relevant technical skills. Mention specific projects or tasks where you utilized these skills to achieve successful outcomes.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Discuss how your background and skills can contribute to the firm's cutting-edge AI initiatives and collaborative culture.
How to prepare for a job interview at Hunter Bond
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Product Manager role within the Equities Technology team. Familiarize yourself with how this position interacts with various stakeholders like Directors, Traders, and Risk Analysts, as well as the importance of translating business needs into technical specifications.
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with technology solutions in the equity investment domain. Highlight any specific projects where you've utilized AI tools or Python, and be ready to explain how these experiences can benefit the firm's trading portfolios.
✨Demonstrate Your Collaborative Skills
Since the role involves fostering relationships across different teams, share examples of how you've successfully collaborated with diverse groups in the past. Emphasize your ability to lead workshops and manage deliverables while keeping everyone aligned on priorities.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Think about how you would approach identifying key needs and challenges within the equities market, and be ready to discuss how you would influence the product roadmap using datasets.
