Quantitative Researcher - Machine Learning

Qenexus; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Qenexus is seeking a Quantitative Researcher in New York to join their collaborative team. The role involves building predictive models with complex datasets and designing trading strategies to optimise performance.

The ideal candidate will have 3+ years in a similar role, holding a relevant degree and proficiency in Python and C++. A strong analytical mindset is essential, alongside being a collaborative team player.

Qualifications

• 3+ years of experience in a similar role.
• Strong analytical and mathematical skills with a demonstrable track record.
• Proficient in Python & C++ or equivalent.

Responsibilities

• Build predictive models with large, complex datasets.
• Design and develop systematic trading strategies.
• Utilise modelling and statistical techniques to extract insights.

Skills

Analytical skills

Mathematical skills

Expertise in Machine Learning

Experience with predictive models

Experience with Python

Experience with C++

Education

BSc, MSc, or PhD in a quantitative or technical discipline

Job description

Overview

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

Responsibilities

• 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.

Qualifications

• 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.