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Marlin Selection is Hiring a Quant Developer - New York Near New York, NY
Job Details
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. Apply today:
If you are passionate about quantitative finance, Python development, and driving investment success through innovative solutions, we encourage you to apply for this exciting opportunity.