What are the responsibilities and job description for the Quantitative Researcher position at Blockhouse?
Job Description
Blockhouse's success stems from our groundbreaking approach to quantitative finance, blending sophisticated mathematical models with robust financial strategies to redefine market dynamics. We are on the hunt for a Quantitative Researcher to elevate our capabilities and set new standards in financial analytics and execution.
Key Responsibilities
Blockhouse's success stems from our groundbreaking approach to quantitative finance, blending sophisticated mathematical models with robust financial strategies to redefine market dynamics. We are on the hunt for a Quantitative Researcher to elevate our capabilities and set new standards in financial analytics and execution.
Key Responsibilities
- Develop and Implement Mathematical Models: Spearhead the development and implementation of advanced mathematical models to calculate slippage and optimize trading strategies.
- Engage with Cutting-Edge Research: Proactively learn and translate complex academic papers and quantitative studies into practical, deployable models for slippage calculations.
- Research Paper Writing: Lead the writing and publication of research papers on new techniques for measuring slippage and optimizing trades.
- Collaborate with Quantitative Teams: Work closely with our team of quant researchers and data scientists to push the boundaries of quantitative finance.
- Continuous Improvement: Stay abreast of the latest developments in quantitative finance and contribute to the continuous improvement of our models and methodologies.
- Educational Background: Holds a Master’s or PhD in a quantitative field such as Mathematical Finance, Financial Engineering, Mathematics, or Statistics.
- Mathematical and Statistical Expertise: Demonstrates a strong grasp of advanced mathematics and statistics, with the ability to understand and implement complex mathematical models.
- Research Skills: Experienced in reading, understanding, and applying findings from academic research papers.
- Programming Proficiency: Proficient in Python and familiar with relevant libraries and tools used in quantitative finance.
- Analytical Mindset: Detail-oriented with a rigorous approach to analysis and a natural curiosity for exploring new methodologies.
- Communication Skills: Possesses outstanding communication skills, capable of conveying complex quantitative concepts and results effectively across multidisciplinary teams.
- Innovative Environment: Lead the charge in financial innovation at a company that's at the forefront of integrating advanced quantitative techniques with traditional financial models.
- Expert Team: Work alongside the brightest minds in an environment that values bold ideas and radical solutions to complex problems.
- Professional Growth: Enjoy a vibrant company culture that promotes career development, continuous learning, and work-life balance.
- Compensation: Receive competitive compensation in a mixture of cash and equity, recognizing your contributions to our success.
- Work Hours: This is a full-time role requiring 40-50 hours per week.
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