Our client is is a leading asset management firm dedicated to delivering superior investment performance and providing innovative solutions to our clients. With a focus on quantitative strategies, we strive to leverage cutting-edge technology and robust analytical frameworks to drive investment success.
Position Overview:
We are seeking a talented Quantitative Developer to join a dynamic team in New York. The ideal candidate will have 3-8 years of experience in Python development, equities, model building, and backtesting within the asset management industry. As a Quantitative Developer, you will play a crucial role in enhancing the quantitative investment strategies by developing and implementing sophisticated models, optimizing trading algorithms, and conducting rigorous backtesting.
Responsibilities:
- Collaborate with quantitative researchers and portfolio managers to understand investment strategies and develop quantitative models to support them.
- Design, develop, and maintain scalable and efficient Python-based tools and libraries for data analysis, model building, and backtesting.
- Implement trading algorithms and optimize execution strategies to improve trading performance across equities.
- Conduct thorough backtesting and performance analysis to validate models and trading strategies, identify areas for improvement, and enhance overall investment outcomes.
- Stay current with industry trends, best practices, and emerging technologies in quantitative finance and apply them to enhance our investment processes.
Requirements:
- Bachelor's degree or higher in Computer Science, Mathematics, Finance, or related field.
- 3-8 years of professional experience as a Quantitative Developer or similar role within the asset management industry.
- Strong proficiency in Python programming and experience with relevant libraries such as pandas, numpy, scipy, etc.
- Solid understanding of equities markets, trading dynamics, and quantitative investment strategies.
- Proven experience in building quantitative models, conducting backtesting, and analyzing trading performance.
- Excellent analytical, problem-solving, and communication skills.
- Ability to thrive in a fast-paced, collaborative environment and manage multiple priorities effectively.