Quantitative Developer

1 month ago

United Kingdom Aurum Search Limited Full time

We are seeking an exceptional Quantitative Developer to join our esteemed team. In this pivotal role, you will has a crucial role in our Systematic Volatility investment team by spearheading the development and maintenance of our production and research pipelines. With a focus on the end-to-end evolution of our volatility strategies, you will play a vital role in crafting robust and scalable processes, collaborating closely with our research and technology units.

Key Responsibilities:

  • Collaborate with the investment teams to conceptualize, develop, and sustain production and research pipelines tailored to volatility strategies.
  • Engage closely with research teams to conceptualize and refine frameworks and tooling that enhance their productivity and effectiveness.
  • Exhibit a profound understanding of volatility products, demonstrating proficiency in listed options and other relevant instruments.
  • Lead the design and upkeep of databases, adeptly managing large and intricate datasets.
  • Foster collaboration across diverse teams to conceptualize and execute systematic trading strategies.
  • Articulate complex concepts and findings adeptly to technical and non-technical stakeholders alike.
  • Demonstrate an unwavering commitment to precision and adherence to superior software development standards.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Demonstrated success in a Quantitative Developer role or equivalent.
  • Proficiency in programming languages such as Python, C++, or MATLAB.
  • Familiarity with best practices in professional software development.
  • Experience in database management and data manipulation.
  • Knowledge of systematic trading strategies and volatility products.
  • Exceptional communication and problem-solving abilities.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Experience with cloud-based platforms and tools.
  • Familiarity with data analysis techniques.
  • Proficiency in large-scale data processing and big data technologies.
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