quantitative researcher: machine learning

3 days ago

Singapore XR Trading LLC. Full time

Overview
All Jobs > QUANTITATIVE RESEARCHER: MACHINE LEARNING (ENTRY LEVEL)
Fully Remote
• United States
Description
XR Trading is a proprietary trading firm with employees in the Netherlands, Singapore, UK and US. XR participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development.
We embrace opportunistic hiring by welcoming exceptional talent even when a specific role may not be open. If you are highly skilled, motivated, and eager to contribute, we encourage applicants to apply so we can explore potential opportunities within XR Trading.
Responsibilities
Quant Researcher to join our Data Science Team
The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production.
You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.
Develop predictive models to maximize strategy performance and identify new trading opportunities
Design and implement robust and scalable CI/CD data pipelines
Translate machine learning algorithms into code
Support current strategies and help develop new strategies utilizing our proprietary software
Stay up to date on cutting-edge machine learning techniques
Location
Work location generally is flexible and subject to approval by the Company
Education
Bachelor's in mathematics, physics, computer science, or a related quantitative field
Masters/PhD in mathematics, physics, computer science, or a related quantitative field
Strong GPA (3.5 or higher)
Preferred Experience & Skills
Strong knowledge of probability, statistics, and machine learning for time-series data
Excellent programming skills in Python (C++ familiarity is a plus)
Experience with software engineering best practices including TDD and CI/CD
Experience with distributed computing
Effective prioritization while being mindful of long-term objectives
Able to take ownership of projects in a fast-paced collaborative environment
Strong attention to detail
Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations
Practical experience applying machine learning techniques for trading applications
Experience with high-performance computing (HPC) environments such as SLURM
Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.)
Salary and Benefits
Base Salary Range
$100,000 - $300,000 USD
100% Employer-Paid
Medical Coverage
Health Savings

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