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- Collaborate closely with Quantitative Researchers to implement and optimize trading strategies.
- Develop and maintain data pipelines, ensuring the availability and integrity of market data.
- Design and implement tools for data analysis, visualization, and model validation.
- Work with large datasets to extract meaningful insights that can drive investment decisions.
- Stay abreast of industry trends and incorporate new technologies to enhance existing systems.
- Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, etc.).
- Solid understanding of quantitative finance concepts and familiarity with financial instruments.
- Experience working in a hedge fund or similar quantitative environment is preferred.
- Proven ability to work collaboratively in a team-oriented setting.
- Excellent communication skills with the ability to convey complex ideas to both technical and non-technical stakeholders.
- Bachelor's or advanced degree in a quantitative field such as Computer Science, Mathematics, or Finance.
- 3+ years of professional experience in a similar role.
- Ability to thrive in a fast-paced, high-pressure environment.
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits.
- Opportunities for professional development and advancement.
- A collaborative and innovative work culture.
Python Quant Data Developer - London, United Kingdom - Vertus Partners
Description
A leading Hedge Fund at the forefront of Quantitative Finance, known for pioneering research and cutting-edge investment strategies is looking to hire an experienced Quantitative Data Developer.
Responsibilities:
Qualifications:
Requirements:
Benefits:
If you are passionate about quantitative finance, Python development, and thrive in a challenging environment, we invite you to apply for this exciting opportunity.