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For Companies At a Glance
- Tasks: Manage and optimise securities lending trading, analyse data, and build analytical tools.
- Company: Join Sharegain, a pioneering firm revolutionising securities lending for all investors.
- Benefits: Competitive salary, growth opportunities, and a dynamic, tech-driven environment.
- Why this job: Gain hands-on experience in a high-growth role that blends coding with market insights.
- Qualifications: 2-4 years in trading or related fields, strong quantitative skills, and Python proficiency.
- Other info: Be part of a diverse team committed to redefining capital markets.
The predicted salary is between 36000 - 60000 £ per year.
About us
Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor? Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It’s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
Every Sharegainer has their own backstory, but we all share an ambition to do things differently – bigger, better, and greater. Together we’re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
Responsibilities
- We are looking for a Securities Lending Trader to join our team, to help scale a modern, data-driven trading desk within a disrupting agent lending firm.
- Manage and optimise daily securities lending trading activity across equities and ETFs.
- Price loans, monitor supply and demand, and respond dynamically to market events.
- Analyse utilisation, rates, recalls, and inventory behaviour to maximise returns for our clients.
- Build and maintain PowerBI & Python-based tools for analytics, automation, and reporting.
- Foster deep & varied relationships, internally with partner functions and externally with market counterparties.
- Contribute ideas to improve trading strategy, data quality, and platform efficiency.
Required skills
- 2–4 years’ experience in securities lending, prime brokerage, trading, or a related markets role.
- Strong quantitative mindset with the ability to interpret data and spot patterns.
- Python proficiency for analysis and automation.
- Comfort working with large datasets and market microstructure concepts.
- Curious, commercially minded, and motivated by ownership and growth.
- Clear communicator who thrives in a collaborative, low-hierarchy team.
Why this role
- Direct exposure to real P&L drivers in a high-growth technology led lending business.
- Steep learning curve across markets, data, and technology.
- A modern trading role where coding and market intuition go hand in hand.
- This is a hands-on role for someone who wants to grow into a senior trader or trading-quant profile while helping redefine how securities lending works in the retail space.
Sharegain is an equal opportunity employer. Employees and contractors, as well as prospective employees and contractors, will all be treated equally and fairly. We are passionate in our belief that a diverse workforce is central to our success, and we are proud to reflect this within our recruiting processes.
Securities lending trader Operations · London · employer: Sharegain Ltd
Contact Detail:
Sharegain Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Securities lending trader Operations · London ·
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your quantitative skills and any relevant experience. We want to see how you can apply your knowledge to real-world trading scenarios, so come prepared with examples!
✨Be Ready for the Unexpected
Interviews can throw curveballs, especially in a fast-paced environment like securities lending. Stay calm, think on your feet, and don’t hesitate to ask clarifying questions if you need to. We appreciate candidates who can adapt and think critically under pressure.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our mission to democratise capital markets.
We think you need these skills to ace Securities lending trader Operations · London ·
Some tips for your application 🫡
Show Your Passion for Markets: When you're writing your application, let your enthusiasm for markets shine through! Share any relevant experiences or projects that demonstrate your interest in securities lending and trading. We love candidates who are genuinely excited about what they do.
Quantitative Skills Matter: Make sure to highlight your quantitative skills in your application. Whether it's through your experience with Python or your ability to analyse data, we want to see how you can apply these skills to real trading decisions. Don't be shy about showcasing your analytical prowess!
Tailor Your Application: Take the time to tailor your application specifically for this role. Mention how your background aligns with our mission to democratise capital markets and how you can contribute to our team. A personalised touch goes a long way in making your application stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at Sharegain Ltd
✨Know Your Numbers
Make sure you brush up on your quantitative skills before the interview. Be prepared to discuss how you've used data in past roles, especially in securities lending or trading. Share specific examples of how you've interpreted data to make decisions.
✨Showcase Your Coding Skills
Since Python proficiency is key for this role, be ready to talk about your experience with coding. Bring examples of any tools or scripts you've built for analytics or automation. If possible, demonstrate your problem-solving approach using Python during the interview.
✨Understand Market Dynamics
Familiarise yourself with current trends in the securities lending market. Be prepared to discuss how you would respond to market events and manage trading activity. Showing that you can think on your feet will impress the interviewers.
✨Build Relationships
This role involves fostering relationships both internally and externally. Think about how you've collaborated with others in previous positions. Be ready to share examples of how you've built rapport and worked effectively in a team setting.
