AI Quant Engineer

Open Systems Technologies; New York (NY); On-site; USD 150,000; Full time

Job summary

A financial firm in New York is seeking an AI Quant Engineer to design and deploy AI models driving commercial success. The ideal candidate will possess a Master’s or Ph.D. in relevant fields with 1-3 years of industry experience. Responsibilities include enhancing model performance and collaborating on machine learning systems in a dynamic environment.

Qualifications

• Master or Ph.D. in relevant fields or equivalent experience.
• 1-3 years of relevant AI/ML industry experience.
• Excellent understanding of AI/ML techniques and algorithms.

Responsibilities

• Design, train, and deploy scalable AI models.
• Conduct experimentation to enhance model performance.
• Collaborate on the production of machine-learning systems.
• Develop and maintain high-quality code.

Skills

Proficiency in Python

Proficiency in Java

Understanding of machine learning techniques

Curiosity

Education

Master or Ph.D. degree in Computer Science

Relevant industry experience

Tools

Data science toolkits

Job description

A financial firm is looking for an AI Quant Engineer to join their team in New York, NY.

Compensation: $150k

Responsibilities:

• Design, train, and deploy scalable AI models to drive commercial outcomes.
• Conduct experimentation and analysis to enhance model performance.
• Collaborate effectively with colleagues to advance the production of machine-learning systems and applications.
• Develop, test, and maintain high-quality, production-ready code.

Qualifications:

• A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
• A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
• Proficiency in contemporary programming languages like Python and/or Java.
• Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
• Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.