Junior Quant Researcher — ML & Time-Series Signals

Squarepoint Capital; City of Geneva (NY); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Discretionary bonuses

Health and dental benefits

401(k) contributions

Job summary

A leading financial firm in New York is seeking a Junior Quant Researcher to research statistical methods and deploy machine learning techniques for trading. The successful candidate will analyze large datasets to identify trading opportunities and collaborate with teams to present research findings. This role requires an advanced degree in a quantitative field and programming proficiency in languages such as Python. Competitive salary starting at $150,000, plus bonuses and benefits.

Qualifications

• Master's degree or higher in a relevant quantitative field is required.
• Ability to conduct rigorous research and communicate findings.
• Experience with advanced statistical and machine learning methods.

Responsibilities

• Research statistical techniques like time-series methods and machine learning.
• Analyze large datasets to identify trading opportunities.
• Deploy and monitor models for trading signals.

Skills

Quantitative background

Programming proficiency (Python, kdb-q)

Strong communication skills

Ability to work in collaborative settings

Education

Advanced degrees in computer science, machine learning/NLP, statistics

Job description

A leading financial firm in New York is seeking a Junior Quant Researcher to research statistical methods and deploy machine learning techniques for trading. The successful candidate will analyze large datasets to identify trading opportunities and collaborate with teams to present research findings. This role requires an advanced degree in a quantitative field and programming proficiency in languages such as Python. Competitive salary starting at $150,000, plus bonuses and benefits.