Quantitative Researcher

Quantitative Researcher

New York, New York

$180,000-200,000 base salary + bonus + benefits

Harnham is partnered with one of the top hedge funds in the NYC area. They are looking for an experienced Quantitative Researcher with a background in building machine learning, deep learning, and applied statistics models for quantitative applications. This person will sit in their Quant Research team and work on portfolio projects across the business.

THE ROLE

• You will build machine learning, deep learning, and applied statistics models aimed at improving investment strategy and trading
• You will analyze large datasets from a variety of alternative data sources i.e. mapping, geographic, location, advertising, search history and other real-world data
• Own development of new platforms for equity and macro products for use both nationally and internationally
• Run simulations to determine interesting companies for trading
• Work closely with internal stakeholders
• Help in mentoring a fast-growing team

YOUR SKILLS AND EXPERIENCE

The successful Quantitative Researcher will likely have the following skills and experience:

• 3-5 years of commercial experience building machine learning and deep learning models for quantitative applications
• Experience using Python for predictive modeling and data manipulation is preferred
• Commercial experience using machine learning, deep learning and Bayesian statistics
• Comfortable leading research projects
• Familiarity reinforcement learning and neural networks preferred
• History of partnering with non-technical stakeholders in different departments
• MS or PhD degree in Computer Science, Statistics, Operations Research, Financial Engineering or similar field preferred

THE BENEFITS

A competitive base salary of $180,000-200,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | Data Science | Deep Learning | Research | Technology | Investment | Hedge Fund | Artificial Intelligence | Financial Services | Quantitative Research | Quant | Alpha | Trading