QUANTITATIVE RESEARCHER: MACHINE LEARNING

2 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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