Full Time Machine Learning
4 weeks ago
Strong Python Development and Machine Learning Engineering Work Experience required
*This company will not sponsor*
The ML Engineer / Data Scientist will join a global, independent financial analytics, data power and technology and services firm headquartered in NYC with over 400 clients spanning buy and sell side firms, individual investors and media and publishing outlets and work with team members on providing their suite of tools to access and wield data with data integrity to power market perception and business intelligence to create better outcomes for risk management, investment processes, counterparty relationships and investor relations.
You will
Work closely with product development and technology project team members to help propel the firm's award-winning data products. 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 model using Machine Learning
- Develop POC
- Perform back testing
- Work with IT for implementation including spec design and testing
- Ensure daily data quality checks in production
- Visualize and explore data sets to enable the idea generation of new, predictive features
Competencies/Experience
Critical
- 3+ years of experience in a machine learning or data science role
- Experience in applying machine learning methods (distribution analysis, regression, classification, clustering, etc.)
- Strong Python programming, SQL Server, Relational Database proficiency
- Capital Markets knowledge/experience
- Degree in Computer Science / Data Science or ML
Desirable
- Azure
- Experience within Prime Brokerage, Securities Lending , Counterparty Risk
- C#, Tableau
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