No more applications are being accepted for this job
- 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 - City of London, Greater 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.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Responsibilities: