Senior Quantitative Researcher

Overview

Senior Quantitative Researcher (Miami, FL) :
Actively initiate the analysis of large-scale financial datasets and address intricate financial investment challenges through advanced mathematics, statistics, and sophisticated computational methodologies.

• Strategically execute financial trading operations and optimize investment portfolios utilizing advanced quantitative methods and strategic insights.
• Propose innovative and high-impact investment strategies grounded in extensive financial quantitative research and advanced analytical techniques.
• Utilize AWS, Kubernetes, Airflow, Docker, column‑oriented databases, and Linux operating system.
• Handle L1‑L3 tick data and the dynamics of market microstructures.
• Perform low‑latency reactive programming using C++ and Python.
• Perform alpha research utilizing fundamental and sector‑specific alternative datasets, including analyst estimates, consumer spending, TMT (Technology, Media, and Telecommunications), and healthcare.
• Work with machine learning models, including ridge and lasso regression and boosting trees.
• Work with advanced neural networks, including Convolutional Neural Networks, Recurrent Neural Networks, Long Short‑Term Memory, transformers, text similarity techniques, and sentiment analysis.

• Reqs:
  Bachelor’s degree + 1 year of experience.

Email resume to or mail resume to Hannah Ogren
, Balyasny Asset Management, L.P., 444 West Lake Street, 50th Floor, Chicago, IL 60606. Must # AL36BA
MFL. No phone calls.