Job description

Job Description Long-term contract opportunity with potential to hire full time. 2-3 days in office. Financial analytics and technology and services firm headquartered in NYC with clients spanning buy and sell side firms is looking to hire a ML Engineer to join their data science team working closely with product development and technology project team members to help propel data products that consolidate all financing and capital markets data for every market, product, function and counterparty. Responsibilities: Improve and innovate models including statistical and machine learning techniques across various asset-classes e.g. Equities, Fixed Income, Derivatives, FX etc. • Develop predictive analytics models using Machine Learning • Develop POC • Visualize and explore data sets to enable the idea generation of new, predictive features • Perform back testing • Work with IT for implementation including spec design and testing • Ensure daily data quality checks in production and more Required - Competencies/Experiences • Advanced degree in Financial Engineering or similar with concentration on Data Science • 5+years of experience in ML or data science focused role utilizing python back-end development • Experience in applying machine learning methods (distribution analysis, regression, classification, clustering, LLM, etc.) • Strong development skills using Python including writing production-ready code, implementation and deployment • Experience with SQL Server • Capital Markets knowledge Desirable • Azure • Experience of Prime Brokerage, Securities Lending, Counterparty Risk

Requirements