Machine Learning Scientist – Leading Quantitative Investment Fund – New York – TC up to MM USD

Job title: Machine Learning Scientist (Quantitative Strategies)

Salary: Up to $500,000 starting base industry-leading guaranteed bonus and package.

Location: New York - Hybrid (Up to 3days onsite per week).

Client:

• Globally leading quantitative investment manager and an early pioneer of systematic strategies in the 1990s.
• Scientific and data-driven fund who have been at the forefront of computational finance for the last four decades.
• Multi-disciplinary team of STEM-subject matter experts who deploy a collaborative approach to developing and executing quantitative and fundamental trading strategies across an array of asset classes and investment products.

Role:

• Following stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities in New York.
• Given longstanding investments in ML, they’re in the process of developing and deploying the firm’s first suite of ML-driven strategies.
• Seeking to apply a multitude of novel ML methodologies from LLMs, DNNs, CV to more traditional frameworks in Statistical ML to an array of complex and noisy data.
• Role entails holistically contributing to the research lifecycle including alpha signal generation, understanding risk and maximizing profitability of quantitative trading strategies.

Required skills:

• Advanced degree in STEM or another highly quantitative discipline.
• Proficient knowledge of novel areas of ML including but not limited to GenAI, LLMs, DNNs, CV, Agentic AI and more traditional forms like Statistical ML.
• Capable across topics in algorithms, data structures, probability and statistical analysis.
• Extensive experience of dealing with noisy data challenges.
• Proficiency in either Python or C .

Desirables:

• Strong ML-related publications in top conferences or peer-reviewed journals including ICML, NeurIPS, AISTATS and CVPR.
• Best Paper Awards or Impact accreditations across ML.
• Direct experience of translating mathematical models to production-level code.

If this opportunity is of interest, please apply direct or email me at asalim@hunterbond.com .