Job Role:
- Work in the Data and Models team to assist the development of a comprehensive Global Surveillance Program across the firm
- Looking for an experienced data science professional who can develop, enhance and optimize surveillance models and analytics across the firm's business groups.
- Apply broad skillset across data and analytics to understand business problems, create insights and envisage practical solutions within Risk Surveillance across several initiatives
- Must have experience in Data Models, Risk model, ML Model will be a plus.
- Must be strong in Python.
- 3+ years of experience with machine learning and statistics, as well as proficiency working with big data and appropriate software (Cloudera, Spark, Jupyter Notebooks and similar), Python and SQL.
- Experience with NLP packages (Natural Language Processing) and proficiency in using Alteryx and Power BI is highly regarded.
- Prior experience with trading in financial markets and investment funds, their operation and the potential for mishandling or manipulation would be preferred.
Education :
- This role requires a bachelor's degree, and relevant experience in statistics, engineering, mathematics, computer science or another relevant quantitative discipline.
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