Quantitative Trading Co-op

## THE POSITION The goal of the Trading Research & Analytics (TRA) team is to harness data to improve overall execution results for our clients. The Wellington Trading desk is a fast paced, collaborative team environment where impactful decisions are made every day to help exceed our clients’ investment expectations. The TRA team works closely with our trading desk, internal groups (such as Investment Science and Trading Technology) and external parties (such as data vendors and the dealer community). The Trading Research & Analytics Co-op will focus the following responsibilities: - Produce detailed research reports for the Traders and the Trading Desk on trading activity, execution quality, liquidity and transaction costs to identify patterns and opportunities for improvement. - Work closely with traders, portfolio managers, and relationship managers to answer client and business questions through analysis of trading and execution data. - Perform quantitative and qualitative analysis of large-scale trading and execution datasets to identify trends, investigate anomalies, validate methodologies, and support business decision-making, client reporting, and execution analysis. - Maintain and enhance trading analytics data platforms, our data lake, reporting workflows, and dashboards that deliver actionable insights to traders and clients. - Take ownership of a longer-term project that delivers lasting value to the team, such as enhancing existing tools, automating manual processes, or leading research initiatives. ## QUALIFICATIONS The qualifications for this position include: - An intelligent, highly motivated professional with a strong work ethic and commitment to excellence. - Strong problem-solving skills and the ability to work independently, navigate ambiguity, and seek guidance when appropriate. - Ability to manage competing priorities and deliver high-quality work in a fast-paced environment. - Strong organizational, communication, and interpersonal skills, with an emphasis on accuracy, concision, and timeliness. - Experience using Python, SQL, Tableau, and other analytical tools to analyze large datasets and generate insights. - Familiarity with and interest in financial markets, trading, and investment processes. - Demonstrated initiative and ownership, with a willingness to identify opportunities, drive improvements, and see projects through to completion.Only Northeastern University students are eligible for this program.