Skills

Python Go Data Analysis Big Data Risk Management Research Attention to detail Machine Learning Programming Analytics Mathematics NLP

Job Specifications

Quantitative Research Intern – London, UK

At BAM, our Researchers collaborate across all asset classes, delivering a wide range of quantitative practices from risk management, big data analysis, AI, LLM, and more. The models built by our QR team power our quantitative strategies and enhance our investment process.

As a QR Intern, you will go through a hands-on 10-week program designed to take your research abilities to the next level. You will have the opportunity to solve complex, real-world problems and make an impact by enhancing our investment and trading frameworks and strategies. Our program offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort. QR interns will be hired into our Systematic, Multi-Asset Arbitrage, Risk and Portfolio Construction teams.

Overview of QR Research Internship Opportunities at BAM:

Multi Asset Arbitrage Research interns are tasked with building, supporting, and integrating globally accessible quant trading infrastructure and interacting with Portfolio Managers and Quant Researchers to build requisite toolkits

Alpha Capture Research interns are tasked with developing alphas utilizing LLM and machine learning methods to enhance our trading strategies within a L/S Equity investment team.

Quant Risk Management interns are tasked with working alongside Sr. Researchers and Risk Managers to improve framework models and conduct research analysis of the investment process to deliver insights related to portfolio construction and risk exposures.

Qualifications:

· Masters or PhD student graduating between December 2026 or May 2027 that is pursuing a degree in Mathematics, Statistics, Computer Science, or related quantitative field. Exceptional Bachelors students with interdisciplinary backgrounds will also be considered.

· Strong knowledge of probability and stats (ML/NLP)

· Familiarity with language models such as BERT, GPT, and XLNet, and NLP related publications is a plus

· Programming proficiency in python

· Experience working with large, complex datasets and building predictive models

· Prior independent research experience in a data-driven environment

· Outstanding analytics skills and attention to detail

· Ability to clearly communicate complex and technical subject matters

· Pragmatic and have a can-do attitude in approaching real-world investment problems

· Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment

Opportunities are available in our London Office

About the Company

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $26 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm's investment teams span five strategies, including Equities Long/Short, Fixed Income & Macro, Commodities, Multi-Asset Arbitrage, and Systematic. Balyasny's mission is to deliver to its investors absolute, uncorre... Know more