Remote AI Research Engineer for Quantitative Finance

CPZ®; New York (NY); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

High ownership

High learning velocity

Global remote-first team

Cutting-edge AI projects

Job summary

A quantitative research and technology firm is seeking an AI Research Engineer to design and build the core intelligence behind their AI product suite. This hands-on role combines research and engineering, focusing on developing next-generation AI models for financial applications. The ideal candidate will have a strong background in machine learning and AI systems, proficiency in Python, and an advanced degree in a relevant field. Join a remote-first team in shaping innovative AI-native quant tooling.

Qualifications

• Strong background in Machine Learning, AI systems, or Quantitative Modeling.
• Experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
• Knowledge of NLP, LLMs, or multimodal models is a plus.
• Proficiency in Python; familiarity with R, Julia, Rust, or C++ is a bonus.

Responsibilities

• Developing and training next-generation AI models for quantitative reasoning.
• Building agent-based, macroeconomic, and probabilistic simulation engines.
• Designing model architectures for financial forecasting.
• Implementing NLP systems that reason over market structure and financial data.
• Productionizing research into scalable modules.

Skills

Machine Learning

AI systems

Quantitative Modeling

Deep learning frameworks (PyTorch, JAX, TensorFlow)

NLP

Python

Simulation

Education

Master’s/PhD in CS, Engineering, Applied Math, Stats, or related fields

Job description

A quantitative research and technology firm is seeking an AI Research Engineer to design and build the core intelligence behind their AI product suite. This hands-on role combines research and engineering, focusing on developing next-generation AI models for financial applications. The ideal candidate will have a strong background in machine learning and AI systems, proficiency in Python, and an advanced degree in a relevant field. Join a remote-first team in shaping innovative AI-native quant tooling.