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For Companies At a Glance
- Tasks: Create innovative trading tools and models in a dynamic hedge fund environment.
- Company: Leading multi-strategy hedge fund with a focus on collaboration and innovation.
- Benefits: Competitive salary up to £200,000 plus bonuses, with no CV required.
- Why this job: Join a fast-paced team and make a real impact on trading performance.
- Qualifications: Strong Python skills and experience with deployment tools like Docker and Kubernetes.
- Other info: Exciting opportunity for career growth in investment management and finance.
The predicted salary is between 144000 - 240000 £ per year.
Are you a Quantitative Developer with a passion for commodities and a desire to work directly with traders in a dynamic front-office environment? This role bridges software engineering and quantitative development within a leading hedge fund, creating tools and models for trading desks. You’ll collaborate with equities Portfolio Managers to design and implement tools that drive trading performance. You’ll build pricing tools, market analysis platforms, and risk management systems, and productionise quantitative models for robust, scalable, front-office integration.
Responsibilities
- Bridge software engineering and quantitative development to create tools and models for front-office trading desks.
- Collaborate with equities Portfolio Managers to design and implement tools that drive trading performance.
- Build pricing, market analysis, and risk management tools; productionise quantitative models for production use.
- Ensure models are robust, scalable, and integrated into front-office workflows.
- Work autonomously using Python and deployment tools to deliver solutions (Jenkins, Docker, Kubernetes).
- Engage with Portfolio Manager requirements and translate them into production-ready tools.
Qualifications
- Strong proficiency in Python; experience in a front-office environment is highly preferred.
- Experience with deployment tools such as Jenkins, Docker, and Kubernetes or equivalent.
- Background from buy-side firms, hedge funds, asset managers, or fintech/vendor environments is ideal.
- Ability to thrive in fast-paced environments and work with Portfolio Managers in a lean team.
Compensation & Application
Total compensation is up to £200,000 base plus bonuses. No up-to-date CV required. Please apply or contact directly at sion@saragossa.io.
Employment details
- Employment type: Full-time
- Job function: Engineering, Finance, and Information Technology
- Industries: Investment Management, Capital Markets, and Financial Services
- Seniority level: Mid-Senior level
£200,000 base + Bonuses - Quantitative Developer – Multi Strat hedge fund equities business in London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land £200,000 base + Bonuses - Quantitative Developer – Multi Strat hedge fund equities business in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and deployment tools. We want to see your work in action, so make sure it’s easily accessible online. This can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of trading environments. We recommend practising common interview questions related to quantitative development and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. So, go ahead and submit your application today!
We think you need these skills to ace £200,000 base + Bonuses - Quantitative Developer – Multi Strat hedge fund equities business in London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for quantitative development and trading. Mention any relevant projects or experiences that highlight your love for commodities and how you’ve engaged with traders in the past.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, especially in Python and deployment tools.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
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 you’re considered for this exciting opportunity in our dynamic team.
How to prepare for a job interview at Saragossa
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the deployment tools mentioned, like Jenkins, Docker, and Kubernetes. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects, especially in a front-office environment.
✨Understand the Trading Landscape
Familiarise yourself with the commodities market and the role of quantitative development in trading. Be prepared to discuss how your tools can enhance trading performance and how you would approach building pricing and risk management systems.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Portfolio Managers, think of examples where you’ve successfully collaborated with others. Highlight your ability to translate complex requirements into practical solutions that drive results.
✨Prepare for Fast-Paced Scenarios
Expect questions that assess how you handle pressure and tight deadlines. Think of specific instances where you thrived in a fast-paced environment and be ready to share how you prioritised tasks and delivered under pressure.
