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For Companies At a Glance
- Tasks: Join our team to develop and enhance cutting-edge trading systems and analytics tools.
- Company: Be part of a well-established UAE fund known for its innovative investment strategies.
- Benefits: Enjoy a competitive tax-free salary, collaborative work environment, and opportunities for professional growth.
- Why this job: Make an impact in finance by leveraging data-driven insights and collaborating with top professionals.
- Qualifications: Strong Python and SQL skills, analytical mindset, and a degree in a quantitative field required.
- Other info: Ideal for those with 5+ years in quantitative research or development roles.
The predicted salary is between 120000 - 180000 £ per year.
A well-established UAE-based fund is expanding its investment and research team, leveraging systematic strategies, data-driven research, and robust tech infrastructure to manage a diversified portfolio. They are looking for a Python Quant Developer to join their front-office research team with the ideal experience being across Python, SQL, systematic trading, analytical skills (e.g. financial data analysis), statistics (bonus), and Macro (bonus). This individual will play a key role in the design, development, and enhancement of the fund’s proprietary trading systems, data analytics infrastructure, and systematic strategies. You will work closely with portfolio managers, researchers, and technologists to support and drive research, execution systems, and platform development.
Key Responsibilities:
- System development: Build, maintain, and enhance quantitative research tools and systems including analytics engines, trading models, and data pipelines.
- Research support: Collaborate with investment professionals on the development and backtesting of systematic trading strategies, signal generation, and portfolio construction.
- Data & analytics: Engage in data acquisition, cleaning, and transformation; apply statistical techniques and financial analysis to derive actionable insights from complex data sets.
- Team collaboration: Interface with researchers, engineers, and portfolio managers to translate investment hypotheses into production-ready code and tools.
- Best practices: Document system architectures and processes; conduct code reviews and knowledge-sharing to ensure high standards in engineering and research workflows.
Ideal background:
- Strong Python and SQL programming skills, and highly proficient in handling financial datasets.
- Experience in developing and implementing systematic trading strategies.
- Strong analytical thinking with a background in statistics, econometrics, or data science.
- Understand core financial concepts such as portfolio theory, risk models, and pricing of financial instruments.
- Bachelor’s degree or higher in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Quantitative Finance. Advanced degrees (MSc/PhD) are a plus.
- At least 5 years of relevant experience in a quantitative research or development role.
- Prior hands-on experience building production-quality tools for systematic research and trading platforms.
Quantitative Developer employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network with professionals in the finance and tech sectors, especially those who work in quantitative roles. Attend industry conferences or meetups to connect with potential colleagues and learn more about the latest trends in systematic trading.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects related to quantitative finance or algorithmic trading. This not only enhances your portfolio but also demonstrates your commitment and expertise in Python and SQL.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on data structures, algorithms, and financial data analysis. Websites like LeetCode or HackerRank can be great resources for honing your skills.
✨Tip Number 4
Familiarise yourself with the specific tools and technologies used in systematic trading environments. Understanding platforms like Bloomberg, QuantConnect, or similar can give you an edge during discussions with potential employers.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL programming skills, as well as any experience with systematic trading strategies. Emphasise your analytical thinking and any relevant projects or roles that demonstrate your ability to handle financial datasets.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Developer position and how your background aligns with the key responsibilities outlined in the job description. Mention specific experiences that showcase your ability to collaborate with investment professionals and develop quantitative research tools.
Showcase Relevant Projects: If you have worked on any projects related to quantitative research, systematic trading, or data analytics, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your practical experience.
Highlight Educational Background: Clearly state your educational qualifications, especially if you hold a degree in a quantitative discipline. If you have an advanced degree, make sure to mention it, as this could set you apart from other candidates.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Bring examples of projects where you've built or enhanced quantitative research tools, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Analytical Thinking
Expect questions that assess your analytical skills and understanding of financial data analysis. Prepare to discuss how you've applied statistical techniques to derive insights from complex datasets, and consider bringing a case study to illustrate your thought process.
✨Understand Systematic Trading Concepts
Familiarise yourself with systematic trading strategies and portfolio construction. Be ready to discuss your experience in developing and backtesting these strategies, as well as any relevant financial concepts like risk models and pricing of financial instruments.
✨Emphasise Team Collaboration
Since the role involves working closely with researchers and portfolio managers, highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, translating investment hypotheses into production-ready code and tools.
