Quantitative Analysis Expert
1 week ago
At BAH Partners, we are seeking a talented Quant Developer to join our team of experts in quantitative finance. As a leading global hedge fund, we leverage advanced technology and world-class talent to deliver exceptional results.
The successful candidate will collaborate closely with portfolio managers and quantitative researchers on the development and implementation of trading strategies. This will involve designing and building robust backtesting frameworks to evaluate and refine strategies.
We require a strong technical expertise in Python or C++ and demonstrated experience in data analytics, data pipeline development, and working with large datasets. A solid understanding of quantitative finance concepts, including portfolio optimization, backtesting, and risk management, is also essential.
In this role, you will work alongside some of the brightest minds in the industry and contribute to the development of innovative strategies that shape the future of finance. You will have the opportunity to work in a dynamic, collaborative, and intellectually stimulating environment and enjoy a competitive compensation package with performance-based incentives.
Key Responsibilities:
- Collaborate closely with PMs and quantitative researchers on the development and implementation of trading strategies.
- Design and build robust backtesting frameworks to evaluate and refine strategies.
- Optimize portfolio construction and risk management processes to enhance performance.
- Develop and maintain scalable data pipelines for efficient data ingestion, processing, and analysis.
- Utilize advanced data analytics to uncover insights and drive decision-making.
Ideal Candidate Profile:
- Proven experience as a Quant Developer or in a similar role within a hedge fund, asset management firm, or proprietary trading environment.
- Strong technical expertise in Python or C++ (experience with both is highly desirable).
- Demonstrated experience in data analytics, data pipeline development, and working with large datasets.
- Solid understanding of quantitative finance concepts, including portfolio optimization, backtesting, and risk management.
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