Quantitative Researcher - Investment Team (Graduate Opportunity)

Balyasny Asset Management
Chicago, US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • developing alphas utilizing LLM and machine learning methods
  • enhancing trading strategies within a L/S Equity investment team
Typical background
Masters or PhD in Mathematics, Statistics, Computer Science, or related quantitative field

Transferable backgrounds

Skills & requirements

Required

probability and statsprogramming proficiency in pythonexperience with large, complex datasetsindependent research experienceoutstanding analytics skillsability to communicate complex and technical subject matters

Preferred

familiarity with language models such as BERT, GPT, and XLNetknowledge of machine learning and NLP

Stack & domain

PythonMlNlpBertGptXlnetCommunicationTeamworkProblem-solvingAttention to detailFinanceInvestmentQuantitative analysis

About the role

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.

Alpha Capture is a systematic investment team within L/S Equity at BAM, aiming to continuously improve our investment process. Alpha Capture Researchers are tasked with developing alphas utilizing LLM and machine learning methods to enhance our trading strategies within a L/S Equity investment team. We foster a…

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