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Quantitative Developer
4 months ago
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.
