Job description

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem—from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking. A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from. The Role Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus Results oriented mindset with a focus on developing deep learning models that directly impact P&L Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models The Candidate Minimum 2 years of applied experience developing deep learning solutions across diverse fields Proven capability in applying machine learning methodologies between different problem domains and application areas Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation) Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Requirements

Must-haves

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets.
A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
Results oriented mindset with a focus on developing deep learning models that directly impact P&L
Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models
The Candidate
Minimum 2 years of applied experience developing deep learning solutions across diverse fields
Proven capability in applying machine learning methodologies between different problem domains and application areas
Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment

Nice-to-haves

Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningagilemlpython

Platform: greenhouse
Effort: quick