Quantitative Researcher

Summary: Aquatic Capital Management is a quantitative investment manager focused on tackling complex challenges in global financial markets. They are seeking a Quantitative Researcher to improve trading models and strategies, utilizing financial data and advanced statistical methods. Responsibilities: - Improve proprietary trading models and strategies - Utilize financial and other data to create or improve predictive models - Develop and/or leverage leading-edge statistical and machine-learning models to enhance research and development system - Create algorithms to monetize predictive signals Required Qualifications: - Master's degree in Statistics, Mathematics or related field - 2 months of related experience - Any amount of experience utilizing mathematical concepts to find solutions to quantitative problems - Any amount of experience designing, developing and implementing proprietary python code that improves open libraries such as the scikit-learn library of Python - Any amount of experience curating and performing data analysis on financial data as part of a trading system - Must live within normal commuting distance of worksite Required Skills: Statistics, Mathematics, Python programming, scikit-learn, Data analysis, Financial data analysis, Machine learning, Algorithm development Benefits: Fully paid medical, dental, and vision for employees and dependents, Competitive 401k plan, Employer-paid life & disability insurance, Wellness programs, Casual dress, Snacks, Lunch, Game room, Team and company events, Generous PTO, Paid holidays, Competitive paid caregiver leaves