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 Intern to elevate our capabilities and set new standards in financial analytics and execution.
Develop and Implement Mathematical Models: Contribute to the development and implementation of advanced mathematical models for Transaction Cost Analysis (TCA), price impact modeling, and other quantitative problems across multiple asset classes.
Engage with Cutting-Edge Research: Proactively learn and translate complex academic papers and quantitative studies into practical, deployable models for slippage calculations and trading optimization.
Research Paper Writing: Contribute to the writing and publication of research papers on innovative techniques for measuring slippage, price impact, and optimizing trades across diverse markets.
Collaborate with Quantitative Teams: Work closely with our team of quant researchers and data scientists to push the boundaries of quantitative finance in a multidisciplinary context.
Continuous Improvement: Stay abreast of the latest developments in quantitative finance and contribute to the continuous improvement of our models and methodologies, with a focus on trading analytics and market dynamics.
Educational Background: Currently pursuing or having completed a Master's or PhD in a quantitative field such as Mathematical Finance, Financial Engineering, Mathematics, or Statistics.
Experience with Trade Data: 6 months to 1 year of hands-on experience analyzing trade data in any asset class is strongly encouraged.
Mathematical and Statistical Expertise: Must have a deep understanding of stochastic differential equations and how to solve stochastic control problems, along with a strong grasp of advanced mathematics and statistics.
Research Skills: Experienced in reading, understanding, and applying findings from academic research papers to practical use cases in quantitative finance.
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: Assist in developing new 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 equity only compensation, recognizing your contributions to our success.
Work Hours: This is a part-time role requiring 20-30 hours per week.
Fast Paced Work: We are looking for candidates to start immediately; if you are searching for Winter/Summer roles, please contact us at a later date.
For International Students
At Blockhouse, we value talent from across the globe and are committed to supporting international students in their career growth. As an e-verified company, we can assist with CPT/OPT documentation. If your CPT/OPT deadline has passed, we are open to flexible international payment arrangements to accommodate your needs and ensure a smooth onboarding process.
Note: We are looking to have someone start right away (not a Spring 2025+ role) and stay on till at least mid-January with options for extension. If you are looking for an internship on a longer timeline, please apply to this job board closer to your preferred start date
If you are passionate about leveraging mathematical models to drive financial innovation and eager to apply your quantitative skills to solve complex problems, join us. Together, we will chart the future of finance, today.
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