New York / Graduate / Number of vacancies: 5

• Statistical data processing (Data Mining)
• Artificial Intelligence (AI), including generative AI
• Predictive modeling using Machine Learning and Data Science techniques
• Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo)
• Development, validation and audit of financial, risk, marketing and business-oriented models
• R&D projects

Requirements

• Recent graduates or final year students.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP).
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