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For Companies At a Glance
- Tasks: Join a dynamic team to develop and implement trading strategies in a fast-paced environment.
- Company: Be part of a renowned systematic trading group with a collaborative culture.
- Benefits: Enjoy a tight-knit team atmosphere and the chance to work on cutting-edge technology.
- Why this job: This role offers hands-on experience and the opportunity to tackle real-world challenges in finance.
- Qualifications: You need a BS/MS/PhD in Computer Science and 5+ years of relevant experience.
- Other info: Strong programming skills in Python and C++ are essential, along with a passion for problem-solving.
The predicted salary is between 48000 - 84000 £ per year.
Company Insight
A tight-knit (40-person headcount) systematic trading group seeks an organised and proficient Quantitative Developer to join their industry-renowned Model Implementation team. You will have the opportunity to work symbiotically within a team of extremely talented and collaborative Quantitative Researchers, Engineers and Portfolio Managers in a highly dynamic organisation comprised of technical and hands-on coders, each wearing multiple hats – as will you.
Responsibilities
As a Quant Developer on the Model Implementation team, your key responsibilities may include but aren’t limited to:
• Own and manage distributed real time trading system responsible for computing signals and target positions for various strategies
• Work closely with Researchers and Portfolio Managers on the team to add new capabilities for existing set of strategies
• Own the design and production implementation of new strategies
• Lead and drive efforts that identify bottlenecks with the existing platform and follow through with an action plan for tackling these bottlenecks
• Add capabilities to expand the platform to new asset classes
Requirements
• BS/MS/PhD in Computer Science or equivalent
• At least 5 years of experience as Quant Developer, Software Engineer or related position
• Strong programming background in both Python and C++
• Strong problem solving and communication skills
• Ability to multi-task and have ownership mentality
• Experience with Python data science stack e.g. Pandas/Numpy/Scikit-learn
• Highly technical by nature possessing outstanding coding, debugging and analytical skills
• Devoted to writing automated tests
Quantitative Developer - Model Implementation employer: Thurn Partners
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Model Implementation
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, such as Python and C++. Make sure you can discuss your experience with these languages confidently during the interview.
✨Tip Number 2
Highlight any previous experience you have with real-time trading systems or quantitative finance. Be prepared to share examples of how you've contributed to similar projects in the past.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing for technical questions that may involve debugging or optimizing code. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Show your collaborative spirit by discussing experiences where you've worked closely with researchers or portfolio managers. Emphasize your ability to communicate effectively within a team setting.
We think you need these skills to ace Quantitative Developer - Model Implementation
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Quantitative Developer position. Tailor your application to highlight your relevant experience in managing trading systems and collaborating with researchers and portfolio managers.
Highlight Technical Skills: Emphasize your programming expertise in Python and C++. Provide specific examples of projects where you've utilized these languages, especially in a quantitative or trading context. Mention your experience with the Python data science stack as well.
Showcase Problem-Solving Abilities: Include examples that demonstrate your strong problem-solving skills. Discuss situations where you've identified bottlenecks in systems and how you successfully addressed them, showcasing your analytical mindset.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for quantitative development and your ability to work in a collaborative environment. Mention your ownership mentality and how you can contribute to the team’s success.
How to prepare for a job interview at Thurn Partners
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in Python and C++. Highlight specific projects where you've utilized these languages, especially in a quantitative context. Demonstrating your coding proficiency through examples will impress the interviewers.
✨Understand the Trading System
Familiarize yourself with the basics of real-time trading systems and how they compute signals and target positions. Being able to discuss how you would approach managing and improving such a system will show your readiness for the role.
✨Collaborative Mindset
Since the role involves working closely with Researchers and Portfolio Managers, emphasize your teamwork skills. Share experiences where you successfully collaborated on projects, particularly in a fast-paced environment.
✨Problem-Solving Approach
Prepare to discuss past challenges you've faced in your work as a Quant Developer. Focus on how you identified bottlenecks and implemented solutions, as this aligns with the responsibilities of the position.
