6 Probabilistic Models Jobs

You will be working on building an innovative online education system that adapts to each individual student. Your responsibilities will include: - Passion and enthusiasm for building scalable systems that analyze huge data sets and make actionable recommendations - Proven ability to identify relationships within large, not obviously related data sets - Ability to work with incomplete or imperfect data - Familiarity with linear algebra and manipulating data using matrix algorithms - Ability to build and interpret probabilistic models of complex, high-dimensional systems - Experience with quantitative analysis utilizing Python - Experience with database technologies such as SQL - Solid progra...

An ideal candidate for the Model QA Analyst role would have a strong background in mathematics and statistics, along with some programming knowledge. This expertise is essential for understanding the financial losses caused by natural perils like earthquakes, tropical cyclones, and other disasters, as the role involves analysing and validating models that predict such events and their financial impact. Responsibilities Reviewing requirement documents to understand what needs testing and the scope of updates for models/products. Learning about natural disasters (earthquakes, Cyclone & floods etc.) and how they are modelled and predicted. Creating and approving detailed test plans, ensuring al...

About the Role : Property Treaty Underwriting Advisor (Americas) Provide high quality Underwriting analytics - both Nat cat and Fire costing (occasionally) to various underwriting desks at Swiss Re in the North Americas, which will include but not limited to: Analysis of property exposure and investigation of various data issues Modeling of property portfolios in Swiss Re internal and external risk assessment tools (e.g. Risk Link, MultiSnap, GRP) Advising underwriters in understanding model results, model differences and limitations Collaborating with underwriters in benchmarking model results and costing/pricing of reinsurance contracts - providing in a more advanced state end-to-end produ...

We are seeking a Document Extraction and Inference Engineer with proficiency in traditional machine learning algorithms and rule-based NLP techniques. As the ideal candidate, you will possess a solid background in document processing, structured data extraction, and inference modeling through classical ML methods. Your primary responsibility will involve designing, implementing, and enhancing document extraction pipelines for diverse applications to ensure both accuracy and efficiency. Your key responsibilities will include developing and executing document parsing and structured data extraction techniques, leveraging OCR and pattern-based NLP for text extraction, refining rule-based and sta...

We are searching for a talented Document Extraction and Inference Engineer who possesses expertise in traditional machine learning algorithms and rule-based NLP techniques. The ideal candidate will have a solid background in document processing, structured data extraction, and inference modeling using classical ML approaches. Your primary responsibility will involve designing, implementing, and optimizing document extraction pipelines for various applications with a focus on ensuring accuracy and efficiency. Key Responsibilities - Developing and implementing document parsing and structured data extraction techniques. - Utilizing OCR (Optical Character Recognition) and pattern-based NLP for t...

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipul...