Junior Quant Researcher
Data Science
Posted on 12/11/2023
INACTIVE
Squarepoint Capital

501-1,000 employees

Global investment manager using technology for automated trading
Company Overview
Squarepoint Capital stands out as a top-tier global investment manager due to its scientific approach and advanced technology, which enables the construction of diversified portfolios with systematic and quantitative strategies. The firm's specialization in developing automated trading systems that operate across global financial markets provides a competitive edge, ensuring efficient and effective trading. Their commitment to achieving high-quality returns for clients further underscores their industry leadership and dedication to client success.
Financial Services
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2014

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

2%

2 year growth

4%
Locations
Montreal, QC, Canada • London, UK • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Natural Language Processing (NLP)
CategoriesNew
AI & Machine Learning
Quantitative Finance
Data & Analytics
Requirements
  • 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
  • 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