support of ongoing experiments led by a Senior Data Scientist (data sourcing, coding, analysis and testing), implementation of models (documentation and ongoing oversight) and integration with Business Intelligence and client facing portals.
You will be part of the decision science function for the Business: including contributing to the development of underwriting models, customer segmentation methodologies, marketing targeting, attribution and response models, as well as the evaluation of new data sources and perform advanced data processing technologies.
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$60K to $100K -New York, NY
The successful candidate would be expected to engage in original research projects focused on applying machine learning methodologies to enhance our existing systems and to develop new trading strategies, developing trading strategies using statistical and machine learning approaches.
In this role, the selected candidate will analyze the efficiency of distribution algorithms and suggest innovative features and enhancements to improve quality, take full ownership of the full software development life-cycle, including researching infrastructure needs for adopting new technologies.
In this role, the selected candidate will train and validate models for accuracy and help IT teams deploy them into production systems; build demonstrable high performing models which can be taken to larger audience within the organization.
The Data Science and Machine Learning Team works on business driven projects and provides the expertise of sound and latest machine learning techniques to solve some of the most challenging data problems that they face today.
The Data & Analytics team is responsible for storing data, making it useful and actionable for business managers, and using it to validate the impact of our programs and inform organizational improvements.
Performs periodic updating of forecasts and preparation of forecast results for business partners; monitors forecast model accuracy and identifies corrective actions when needed, prior to results distribution.