Machine Learning - Quantitative Researcher

Qenexus; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Qenexus in New York is seeking a Quantitative Researcher with expertise in Machine Learning to join its collaborative team. You will build predictive models on large datasets and contribute to trading strategies that aim to maximise performance.

Requirements include advanced quantitative degrees, 3+ years in a similar role, and proficiency in Python and C++. You thrive in cross-functional research and development, and take initiative to drive impact.

Qualifications

• Advanced degree in a quantitative field required.
• 3+ years of experience in a similar role.
• Proficiency in Python and C++.
• Experience applying ML to trading problems.

Responsibilities

• Build predictive models with large, complex datasets.
• Design, develop, and refine systematic trading strategies to maximise trading performance.
• Utilise modelling, machine learning, and statistics to extract insights and translate them into trading edge.

Skills

Analytical ability

Mathematical skills

Team collaboration

Initiative

Education

BSc/MSc/PhD in quantitative or technical discipline

Tools

Python

C++

Job description

Our client is seeking a Quantitative Researcher with expertise in Machine Learning to join their collaborative team.

Responsibilities of the Role:

• Build predictive models with large, complex datasets.
• Design, develop, and refine systematic trading strategies to optimise market reactions, order placement, and execution in order to maximise trading performance.
• Utilise modelling, machine learning, and statistical techniques to extract insights from data and translate them into trading edge.

Requirements of the Role:

• BSc, MSc, or PhD in a quantitative or technical discipline (Mathematics, Physics, Computer Science, Engineering or similar).
• 3+ years of experience in a similar role.
• Strong analytical and mathematical skills with a demonstrable track record of applying them to real trading problems.
• Proficient in Python & C++ or equivalent.
• A collaborative team player with experience working across research and development functions.
• A self-starter who identifies opportunities and takes initiative to drive impact.