Quantitative Researcher

Revive It Recruitment • New York, NY

1d • Onsite

About The Position

Our client is one of the world's leading quantitative investment firms, managing billions of dollars through sophisticated data-driven investment strategies. Their success is built on the combination of cutting-edge technology, advanced statistical modelling, machine learning, and world-class research talent. They are looking for exceptional Quantitative Researchers to develop predictive models, generate investment signals, and help drive investment decisions across global financial markets. This is an opportunity to work alongside some of the strongest researchers, engineers, and portfolio managers in the industry while tackling complex real-world problems using data, mathematics, and machine learning.

Requirements

• Advanced degree in Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, or another highly quantitative discipline.
• Strong foundation in probability, statistics, optimisation, and machine learning.
• Experience conducting independent research and developing quantitative models.
• Excellent programming skills in Python, C++, R, or similar languages.
• Ability to work with large structured and unstructured datasets.
• Strong problem-solving skills and intellectual curiosity.
• Excellent communication skills with the ability to explain complex ideas to both technical and non-technical stakeholders.

Nice To Haves

• Experience in quantitative finance, systematic trading, forecasting, recommendation systems, or applied machine learning.
• Research experience in deep learning, NLP, reinforcement learning, time-series forecasting, or optimisation.
• Publications, competition results, or evidence of exceptional quantitative ability.

Responsibilities

• Research and develop predictive models using large-scale datasets.
• Design and test alpha signals and quantitative investment strategies.
• Apply statistical modelling, machine learning, and advanced analytics to identify market opportunities.
• Build forecasting models, portfolio construction frameworks, and risk management tools.
• Conduct rigorous back-testing and performance analysis.
• Collaborate closely with Portfolio Managers, Engineers, and other Researchers to move ideas from research into production.
• Continuously explore new datasets, methodologies, and technologies to improve investment outcomes.

Benefits

• Highly Competitive Compensation
• Significant Performance Bonus
• Access to enormous datasets, world-class infrastructure, and elite colleagues.
• Meritocratic environment where performance and ideas matter.
• Highly competitive compensation, performance bonuses, and long-term career growth.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior