ML Engineer for Quantitative Research & Trading Systems

Confidential; Houston (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading tech firm in Houston is seeking an Entry Level Machine Learning Engineer to design and implement advanced models for quantitative research. You will develop scalable systems for data ingestion and collaborate with trading teams to enhance decision-making. The ideal candidate has a Master’s degree and 2+ years of experience in ML. This full-time role offers opportunities for professional growth in a fast-paced environment.

Qualifications

• Master’s degree in a relevant quantitative discipline.
• 2+ years of ML engineering or quantitative research experience.

Responsibilities

• Architect and maintain research infrastructure.
• Develop and refine machine learning models.
• Automate reporting and analytics dashboards.
• Conduct exploratory data analysis on large datasets.
• Collaborate with trading teams to integrate insights.

Skills

Data visualization tools

Familiarity with cloud platforms

Version control (Git)

Education

Master’s degree in applied Analytics or related quantitative discipline

2+ years in ML engineering or quantitative research

Tools

Tableau

Python

SQL

Job description

A leading tech firm in Houston is seeking an Entry Level Machine Learning Engineer to design and implement advanced models for quantitative research. You will develop scalable systems for data ingestion and collaborate with trading teams to enhance decision-making. The ideal candidate has a Master’s degree and 2+ years of experience in ML. This full-time role offers opportunities for professional growth in a fast-paced environment.