Machine Learning Quantitative Researcher Work From Home - G - Next Step Systems

Machine Learning Quantitative Researcher Work From Home We are currently looking for a Machine Learning Quantitative Researcher for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote. Machine Learning Quantitative Researcher Responsibilities: We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts. 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. 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. Machine Learning Quantitative Researcher Qualifications: - Bachelor s in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience. - Strong GPA (3.5 or higher). - 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. - Prior experience developing on a Linux stack. - 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. Machine Learning Quantitative Researcher Preferred Experience - 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.). Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc. Keywords: Chicago IL Jobs, Machine Learning Quantitative Researcher, Machine Learning, Quant Researcher, Statistics, C++, Python, Linux Stack, Test Driven Development, TDD, CI/CD, Distributed Computing, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting Looking to hire a Machine Learning Quantitative Researcher in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Machine Learning Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.