# Quantitative Researcher - Systematic, Multi-Asset Arbitrage (Summer Internship) [Balyasny Asset Management](https://www.jorb.ai/firms/balyasny-asset-management.md) · New York · United States · [Hedge Fund & Quant](https://www.jorb.ai/jobs/hedge-fund-quant.md) Balyasny Asset Management is hiring a Quantitative Researcher - Systematic, Multi-Asset Arbitrage (Summer Internship) in New York. Posted 2026-08-14; applications close 2026-10-13. **Apply**: https://bambusdev.my.site.com/s/details?jobReq=Quantitative-Researcher---Systematic--Multi-Asset-Arbitrage--Summer-Internship-_REQ8461 Posted 1d ago. ## Role details ## About BAM Quant Research (QR) At BAM, our Researchers collaborate across all asset classes, delivering quantitative practices spanning risk management, big data analysis, AI, LLMs, and more. The models built by the QR team power our quantitative strategies and enhance our investment process. ## Quant Research Internship As a QR Intern, you will complete a hands-on 10-week program designed to elevate your research capabilities. You will have the opportunity to solve complex, real-world problems and make an impact by improving our investment and trading frameworks and strategies. The program includes mentorship and collaboration with senior team members, as well as networking opportunities with the broader intern cohort. QR interns are hired into the Systematic, Multi-Asset Arbitrage, Risk and Portfolio Construction teams. ## Internship Opportunity Tracks - **Systematic Research:** Analyze textual data using advanced NLP models to develop actionable trading signals. - **Multi-Asset Arbitrage Research:** Build, support, and integrate globally accessible quant trading infrastructure, and collaborate with Portfolio Managers and Quant Researchers to develop required toolkits. - **Alpha Capture Research:** Develop alphas using LLM and machine learning methods to enhance trading strategies within an L/S Equity investment team. - **Quant Risk Management:** Work with senior researchers and risk managers to improve framework models and conduct research analysis of the investment process, delivering insights related to portfolio construction and risk exposures. - **Portfolio Construction Research:** Conduct factor model research and build tools used throughout the firm for equity factor models. ## Qualifications - Bachelor’s or Master’s student graduating between Winter 2027 and Spring/Summer 2028, pursuing a degree in Mathematics, Statistics, Computer Science, or a related quantitative field. - Programming proficiency in Python. - Strong knowledge of probability and statistics (ML/NLP). - Experience working with large, complex datasets and building predictive models. - Prior independent research experience in a data-driven environment. - Familiarity with language models such as BERT, GPT, and XLNet, and familiarity with NLP publications (a plus). - Outstanding analytics skills and attention to detail. - Ability to clearly communicate complex and technical subject matters. - Pragmatic approach with a can-do attitude toward real-world investment problems. - Results-driven mindset; ability to work in an ambiguous environment; and ability to collaborate effectively within a team. ## Compensation For NY, CA, and IL based applicants, the starting base pay range for this role is between USD 20,000 and USD 20,000 monthly. The actual base pay depends on several factors, including relevant experience, business needs, and market demands. This role may also be eligible for bonus compensation and employee benefits. ## Applying to this role This Quantitative Researcher - Systematic, Multi-Asset Arbitrage (Summer Internship) role at Balyasny Asset Management runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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