Junior Quant Researcher - ML Alpha Research

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

Our team-focused culture brings together exceptional talent in various technical disciplines and empowers everyone to perform in a truly outstanding way.

Junior Quant Researcher - ML Alpha Research

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview

• Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
• Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
• Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.

Typical Day

• Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
• Discuss and present research results with other researchers
• Deploy and monitor models used to generate trading signals.

Required Qualifications

• Quantitative background - includes advanced degrees in computer science, machine learning / NLP, statistics, signal processing, optimization, mathematics and related STEM subjects (masters or higher)
• Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
• Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
• Strong communication skills and ability to work well with colleagues across multiple regions
• Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.

The minimum base salary for this role is $150,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors.