Quantitative ML Researcher: Build Market-Impact Models

Virtu Financial; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Virtu Financial in New York is seeking a Machine Learning Researcher to tackle complex problems in quantitative trading. The role focuses on innovative algorithmic solutions using deep learning techniques to impact P&L directly. Ideal candidates have a minimum of 2 years' experience in the field and strong proficiency in Python and frameworks like PyTorch and TensorFlow. The salary range is $200,000 - $300,000, exclusive of bonuses and benefits. Virtu emphasizes a diverse and inclusive workplace.

Qualifications

• Minimum 2 years of applied experience developing deep learning solutions across diverse fields.
• Proven capability in applying machine learning methodologies between different problem domains.
• Strong production mindset with emphasis on delivering solutions that create bottom-line value.

Responsibilities

• Investigate and prototype innovative algorithmic solutions using machine learning techniques.
• Focus on developing deep learning models that impact P&L.
• Partner with traders and researchers to transform insights into actionable models.

Skills

Deep learning solutions

Machine learning methodologies

Python

PyTorch

TensorFlow

Tools

JAX

C++

Job description

Virtu Financial in New York is seeking a Machine Learning Researcher to tackle complex problems in quantitative trading. The role focuses on innovative algorithmic solutions using deep learning techniques to impact P&L directly. Ideal candidates have a minimum of 2 years' experience in the field and strong proficiency in Python and frameworks like PyTorch and TensorFlow. The salary range is $200,000 - $300,000, exclusive of bonuses and benefits. Virtu emphasizes a diverse and inclusive workplace.