Data Scientist / Machine Learning

Conversant - New York, NY

Full-time - Mid Level

New York, NY

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The position involves joining a core team of data scientists focused on Enterprise Risk Management within a Financial Services Institution. The team will collaborate with quantitative analysts, engineers, and business stakeholders to extract valuable insights from various data types, including unstructured and multi-structured data, to enhance risk and fraud prediction capabilities.

Responsibilities

• Collaborate with Quants and engineering teams to ideate and isolate signals from diverse data sources.
• Refine risk and fraud predictors using advanced data analysis techniques.
• Utilize risk modeling methodologies to assess commercial risks.
• Implement natural language understanding (NLU) and natural language processing (NLP) techniques in data analysis.
• Develop and apply anomaly detection methods to identify unusual patterns in data.
• Leverage neural networks and deep learning algorithms to improve predictive models.

Requirements

• Proven experience in risk modeling, particularly in commercial risk.
• Strong knowledge of natural language processing (NLP) and natural language understanding (NLU).
• Hands-on experience with Python programming, including familiarity with NLTK libraries.
• Experience with R for statistical analysis and modeling.
• Knowledge of anomaly detection techniques and their applications.
• Familiarity with neural networks and deep learning frameworks, particularly TensorFlow.