Machine Learning Quantitative Researcher, Trading Models

Qenexus

New York (NY)

On-site

USD 120,000 - 180,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Qenexus is seeking a Quantitative Researcher with expertise in Machine Learning to join a collaborative team in New York. The role focuses on building predictive models from large datasets and developing systematic trading strategies to optimise execution and trading performance.

You will apply advanced modelling, ML, and statistics to extract insights, driving edge in trading decisions. A strong mathematical background and coding proficiency in Python and C++ are required, with a track record

Qualifications

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

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.