Lead AI Platform Architect for Quantitative Research

Hedge Fund; Chicago (IL); On-site; USD 130,000 - 170,000; Full time

Job summary

Hedge Fund is seeking an elite AI Engineer to join the Quantitative Research team. This position involves architecting an AI platform to enhance investment workflows, developing machine learning tools, and conducting in-depth quantitative research. Ideal candidates should have a PhD or MSc in relevant fields along with 5-10 years of experience in asset management or hedge funds. Proficiency in Python and expertise in modern AI and machine learning systems is essential.

Qualifications

• 5 to 10 years of direct experience in a Quantitative Research or Analyst capacity.
• Experience with stochastic calculus, derivatives pricing, and portfolio theory.
• Expert-level programming skills in Python with experience in machine learning frameworks.

Responsibilities

• Architect and build a proprietary AI platform for quantamental research.
• Develop machine learning techniques to enhance portfolio construction.
• Research and deploy systematic signals leveraging machine learning.

Skills

AI Architecture

Financial Engineering

Communication

Software Development

Education

PhD or MSc in Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science

Tools

Python

C++

Java

PyTorch

TensorFlow

Scikit-Learn

SQL

Docker

Azure

Spark

Dask

Job description

Hedge Fund is seeking an elite AI Engineer to join the Quantitative Research team. This position involves architecting an AI platform to enhance investment workflows, developing machine learning tools, and conducting in-depth quantitative research. Ideal candidates should have a PhD or MSc in relevant fields along with 5-10 years of experience in asset management or hedge funds. Proficiency in Python and expertise in modern AI and machine learning systems is essential.