Quantitative Developer

Quantitative Developer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to develop and optimize trading systems and quantitative models.
  • Company: A boutique trading firm with a global presence in London, New York, and Hong Kong.
  • Benefits: Work in a dynamic environment with opportunities for growth and collaboration.
  • Why this job: Be part of an ambitious team making impactful decisions in financial markets.
  • Qualifications: Proficiency in Python, C++, or Java; strong background in data structures and algorithms.
  • Other info: Candidates must be based in or willing to relocate to London, New York, or Hong Kong.

The predicted salary is between 43200 - 72000 £ per year.

Company Overview:

Our client, a boutique trading firm with offices locations across London, New York and Hong Kong, is looking for a Quantitative Developer to join their dynamic, ambitious team.

Position Overview:

As a Quantitative Developer, will be assisting the Front Office team/ Portfolio Manager with optimising trading systems and back testing strategies across multiple asset classes

Key Responsibilities:

  • Develop, implement, and optimize trading systems and quantitative models .
  • Collaborate with researchers and traders to translate ideas into production-ready code.
  • Design and enhance backtesting frameworks for strategy validation and optimization.
  • Ensure low-latency, high-performance execution across diverse asset classes.
  • Work with large datasets, improving tools for data ingestion, cleaning, and analysis.
  • Continuously improve code performance, scalability, and robustness.

Key Requirements:

  • Proficiency in Python , C++ , or Java for performance-critical applications.
  • Experience in building and optimizing low-latency systems .
  • Strong background in data structures, algorithms , and object-oriented programming.
  • Understanding of financial markets and quantitative trading strategies.
  • Experience with backtesting frameworks and large-scale datasets.
  • Phd or Degree in related field e.g. mathematics, computer science or physics is a bonus*

The client is only considering people already based, or looking to relocate to London, New York, or Hong Kong. Please only apply if this applies to you.

Any further questions please message

Quantitative Developer employer: Affinity Personnel

Our client is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among talented professionals in the heart of major financial hubs like London, New York, and Hong Kong. With a strong emphasis on employee growth, they provide ample opportunities for skill development and career advancement, while also promoting a healthy work-life balance. Joining this boutique trading firm means being part of a dynamic team that values your contributions and encourages you to push the boundaries of quantitative finance.
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Contact Detail:

Affinity Personnel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer

✨Tip Number 1

Make sure to showcase your proficiency in Python, C++, or Java during the interview. Prepare examples of how you've used these languages in performance-critical applications, as this will demonstrate your technical skills effectively.

✨Tip Number 2

Familiarize yourself with low-latency systems and be ready to discuss your experience in building and optimizing them. This knowledge is crucial for the role and will set you apart from other candidates.

✨Tip Number 3

Brush up on your understanding of financial markets and quantitative trading strategies. Being able to discuss current trends and how they relate to your work will show your passion and commitment to the field.

✨Tip Number 4

If you have experience with backtesting frameworks and large-scale datasets, prepare to share specific projects or challenges you've faced. This will highlight your practical experience and problem-solving abilities.

We think you need these skills to ace Quantitative Developer

Proficiency in Python, C++, or Java
Experience in building and optimizing low-latency systems
Strong background in data structures and algorithms
Object-oriented programming skills
Understanding of financial markets and quantitative trading strategies
Experience with backtesting frameworks
Ability to work with large-scale datasets
Code performance optimization
Scalability and robustness in software development
Collaboration with researchers and traders
Data ingestion and cleaning techniques
Analytical thinking
Problem-solving skills

Some tips for your application 🫡

Understand the Role: Make sure you fully understand the responsibilities of a Quantitative Developer. Highlight your experience with trading systems, backtesting frameworks, and your proficiency in programming languages like Python, C++, or Java.

Tailor Your CV: Customize your CV to emphasize relevant skills and experiences that align with the job description. Focus on your background in data structures, algorithms, and any experience with financial markets or quantitative trading strategies.

Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for quantitative development and your understanding of the trading industry. Mention specific projects or experiences that demonstrate your ability to optimize trading systems and work with large datasets.

Highlight Collaboration Skills: Since the role involves collaboration with researchers and traders, make sure to mention any past experiences where you successfully worked in a team environment. This will show that you can effectively translate ideas into production-ready code.

How to prepare for a job interview at Affinity Personnel

✨Showcase Your Technical Skills

Be prepared to discuss your proficiency in Python, C++, or Java. Highlight specific projects where you've developed low-latency systems or optimized trading algorithms, as this will demonstrate your capability to handle performance-critical applications.

✨Understand the Financial Markets

Make sure you have a solid understanding of financial markets and quantitative trading strategies. Be ready to discuss how your technical skills can be applied to real-world trading scenarios, as this will show your ability to bridge the gap between technology and finance.

✨Discuss Your Experience with Backtesting

Prepare to talk about your experience with backtesting frameworks and working with large datasets. Share examples of how you've designed or enhanced backtesting processes, as this is crucial for validating and optimizing trading strategies.

✨Demonstrate Problem-Solving Skills

Expect technical questions that assess your problem-solving abilities, particularly in data structures and algorithms. Practice coding challenges beforehand, as this will help you think on your feet and showcase your analytical skills during the interview.

Quantitative Developer
Affinity Personnel
A
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