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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 reshaping capital markets.
The predicted salary is between 36000 - 60000 £ per year.
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? Sharegain builds 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.
Our team of experts in the UK, US and Israel built the solution to empower online brokers, private banks, and wealth managers to offer securities lending to their clients. 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
- 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 employer: Sharegain
Contact Detail:
Sharegain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Securities lending trader
✨Tip Number 1
Network like a pro! Reach out to people in the securities lending space, attend industry events, and connect on LinkedIn. The more relationships we build, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any analytics tools you've built. This will give us an edge when discussing our quantitative mindset during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on market microstructure concepts and be ready to discuss how you’d approach real trading decisions. We want to demonstrate our problem-solving skills and market intuition.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you're genuinely interested in being part of the Sharegain team and our mission to democratise capital markets.
We think you need these skills to ace Securities lending trader
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 insights that demonstrate your love for trading and securities lending. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the role.
Quantitative Skills Matter: Make sure to highlight your quantitative skills in your application. Whether it's your experience with data analysis or your proficiency in Python, we want to know how you can apply these skills to real trading decisions. Don’t be shy—give us examples of how you've used data to drive results!
Tailor Your Application: Take the time to tailor your application specifically for the Securities Lending Trader role. Mention how your background aligns with our mission at Sharegain and how you can contribute to our goal of democratizing capital markets. A personalised application shows us you’re serious about joining our team!
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, it shows us that you’re proactive and keen to join the Sharegain family!
How to prepare for a job interview at Sharegain
✨Know Your Numbers
As a Securities Lending Trader, you'll need to demonstrate your quantitative skills. Brush up on key metrics related to securities lending, such as utilisation rates and loan pricing. Be prepared to discuss how you would analyse these numbers to optimise trading strategies.
✨Showcase Your Coding Skills
Since Python proficiency is crucial for this role, make sure to highlight any relevant projects or tools you've built. Bring examples of how you've used Python for data analysis or automation in previous roles. This will show your practical experience and problem-solving abilities.
✨Understand Market Dynamics
Familiarise yourself with current trends in the securities lending market. Be ready to discuss recent market events and how they might impact trading decisions. This shows that you're not just a number-cruncher but also someone who understands the bigger picture.
✨Build Relationships
The role involves fostering relationships both internally and externally. Think about how you can demonstrate your communication skills and collaborative mindset during the interview. Share examples of how you've successfully worked with teams or clients in the past.
