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For Companies At a Glance
- Tasks: Analyse data and build models for alpha generation in a dynamic trading environment.
- Company: Join a high-performance systematic prop trading business with a collaborative culture.
- Benefits: Competitive salary of £400k to £500k, with opportunities for growth and development.
- Why this job: Make an impact by developing cutting-edge trading systems and collaborating with top professionals.
- Qualifications: Strong Python skills and a degree from a top university are essential.
- Other info: Encouraging applications from diverse backgrounds, even if you don't meet all requirements.
Overview
Join a small high-performance Systematic Prop Trading business. Working as part of the Quant Research team, to analyze data, build models & signals for alpha generation, and manage risk.
Responsibilities
- Collaborate closely with Quants, Traders, and Developers - researching, developing, and testing execution and trading models
- Enhance and build a research infrastructure that can handle hundreds of thousands of tick-level signals
- Build a comprehensive, multi-market trading system to capitalize on relative value and statistical arbitrage opportunities.
Requirements
- Strong Python
- Write and deploy code in a production environment - where performance matters
- Computer Science (or similar) Degree from a Top 20 University
Compensation: £400k to £500k (depending on experience)
Feel your experience does not fit all these requirements? We encourage you to apply anyway!
Seniority level: Mid‑Senior level
Employment type: Full-time
Job function: Information Technology and Finance
Industries: Staffing and Recruiting, Financial Services, and Software Development
Algorithm Engineer employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in prop trading or algorithm engineering. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing real-world applications of your coding prowess in Python and C++.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank. We want to see how you think and solve problems under pressure!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace Algorithm Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Algorithm Engineer position and how your background makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and innovate, especially in high-pressure environments.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Durlston Partners
✨Know Your Algorithms
Brush up on your algorithm knowledge, especially in C++ and Python. Be prepared to discuss specific algorithms you've implemented and how they performed in real-world scenarios. This will show your technical prowess and understanding of the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with Quants, Traders, and Developers, be ready to share examples of past collaborations. Highlight how you contributed to team projects and how you handled any challenges that arose during those collaborations.
✨Demonstrate Your Problem-Solving Ability
Prepare to tackle some technical problems during the interview. Practice coding challenges that focus on performance and efficiency, as these are crucial in a trading environment. This will help you showcase your analytical skills and quick thinking.
✨Understand the Trading Landscape
Familiarise yourself with current trends in systematic prop trading and statistical arbitrage. Being able to discuss market conditions and how they affect trading strategies will impress your interviewers and demonstrate your genuine interest in the field.
