Research Analyst

Quantinno Capital Management, established in 2018 by alumni from some of the world’s largest investment firms, is an asset manager specializing in innovative tax-aware investment strategies. Leveraging expertise in quantitative investment approaches, Quantinno offers tailored solutions for taxable investors. Quantinno currently manages over $27.1 billion in assets on behalf of some of the largest Family Offices, Multi-Family Offices, and Registered Investment Advisors (RIAs) in the country. Primary Responsibilities We are seeking an exceptional Research Analyst to join our investment team, with a specific focus on developing and implementing quantitative strategies that maximize after-tax returns for our clients. Research analysts will be deeply involved in all aspects of the research process including data ingestion and processing, analysis, methodology selection, implementation, testing and performance evaluation. This role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies. This role is ideal for individuals who possess exceptional quantitative and communication skills, a knack for problem-solving, and a strong desire to work in an agile, fast-paced investment environment. Engage in quantitative analysis on alpha signals, tax strategies, and portfolio construction Perform statistical and economic research using alternative and traditional financial data to develop new alpha signals Investigate tax characteristics of various trading strategies and develop innovative methods to make portfolios more tax-efficient Support the development and maintenance of simulation frameworks for strategy evaluation, incorporating transaction costs, tax impacts, and investment constraints Work closely with other researchers, portfolio managers, and technology teams to translate research ideas into solutions Clean, validate, and process large-scale financial datasets for research use Document research results clearly to assist in presenting findings to senior leadership Qualifications B.S. in computer science, economics, mathematics, statistics, or other quantitative discipline (Advanced Degrees a plus) 1-4 years’ experience working in an analytical role (quantitative finance, data science, etc.) Proficiency in Python programming required Experience with translating mathematical models and algorithms into code Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form The salary range for this role will be between 125-175K per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health/dental/vision insurance, Paid Time Off, 401(k) and other benefits eligible to employees. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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