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MarketAxess Research Analyst in New York, New York

MarketAxess Corporation seeks Research Analyst in New York, NY.Create an ongoing meta microservice to augment CP+ pricing. Conduct outlier analysis on CP+. Analyze frequency of updates of CP+. Evaluate CP+ pricing by looking at performance in specific segments of the market. Automate existing processes in python. Create and maintain monthly reports for clients. Modify existing SQL queries to increase speed and accessibility. Handle ad hoc requests by clients and internal stakeholders. Use machine learning to predict client trading interests. Create automated market insight materials on ETF for internal teams. Analyze and interpret large data sets to respond to ad-hoc data inquiries from clients and internal teams. Analyze and interpret proprietary MarketAxess data to source new ideas for research topics and data tools. Use understanding of global credit market structure and e- trading workflow to quantify market data trends for clients. Write Axesspoint blog posts commenting on market structure developments. Create and maintain Tableau dashboards.Requires a Bachelor's degree in Statistics, Data Science, Economics or a related field plus 1 year of experience in related occupations. Requires 1 year of experience with the following: Statistical computer languages (R, Python, and SQL) to draw insights from large data sets; Machine learning techniques including clustering, recommendation algorithm, decision tree and scoring algorithms. Requires 6 months of experience with advanced statistical techniques. Requires 3 months of experience with the following: Problem solving skills with emphasis on product development; Creating and using these advanced machine learning algorithms; Data visualization techniques. 40 hours/week, $110,000 - $175,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at https://jobpostingtoday.com/ Ref# 87015.

Minimum Salary: 110,000 Maximum Salary: 175,000 Salary Unit: Yearly

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