Headquartered in the heart of downtown Chicago, CNA is a leading commercial and specialty insurer, offering a diverse range of insurance products including Workers Compensation, Property, General Liability, Professional Liability, Cyber Insurance, Surety, and Warranty. We are one of the world leaders in underwriting non-medical professionals, from lawyers and accountants to architects and management consultants.
What CNA offers • A collaborative data science team with diverse skills and experiences, combined with deep expertise in statistical modeling, machine learning, and applications to insurance• Modern cloud computing environment that enables you to explore data, build and deploy sophisticated models that impact key areas such as underwriting, pricing, claims management and risk control• Sponsorship of continued professional growth through support for attending technical conferences, meetings and symposia
What we are looking for
The successful candidate will:
• Use statistical methodologies and machine learning techniques to build state-of-the-art predictive models for the pricing, underwriting, claims, operations and marketing for an exciting mix of business insurance products • Translate business problems into innovative analytical solutions
Essential Duties & Responsibilities• Builds predictive, prescriptive or descriptive models in collaboration with business partners in functional areas such as Underwriting, Pricing, Distribution, Claims, Risk Control and IT to help address business questions• Designs, writes, and tests advanced computer programs to extract, visualize and analyze data, to build models and to support model deployment into production• Interprets the results of models in business terms and communicates the contents of the models to business decision-makers • Participates in crafting products and innovative solutions that will provide revolutionary change• Participates in special projects requiring advanced quantitative expertise
Required Skills, Knowledge & Abilities
• Experience in merging, cleaning, and preparing data for analysis from multiple sources• Experience in extracting meaningful information from data using visualization and by formulating and testing hypotheses. • Proficiency with SQL • Advanced experience working with R or Python • Proficiency with classical Generalized Linear Models, statistical inference, and re-sampling methods • Deep expertise in applying statistical and machine learning methods to solve complex problems using structured and unstructured data• Proficiency in Linux • Practical experience with version control (git, SVN)• Strong analytical, problem solving and critical thinking skills • Attention to detail and accuracy of work, ability to spot and correct issues • Strong interpersonal and communication skills• Strong writing skills, including writing coherent documentation and reports• Drive to continuously improve and learn new tools and methods• Ability to work collaboratively with colleagues with diverse perspectives and backgrounds• Ability to interpret algorithm results and communicate insights to technical and non-technical audiences • Strong time management skills• Capable of operating with little supervision and thinking independently and innovatively • Proven experience in coming up with creative analytical approaches demonstrated through impactful business solutions or academic publications
Preferred Skills, Knowledge & Abilities
• Practical experience with distributed computing (e.g., Apache Spark)• Experience developing packages in R or Python• Experience with natural language processing • Experience with using C++ for advanced algorithm implementation • Experience with Machine Learning Model Interpretation methods • Experience in working with data and tools to design processes in a cloud environment, preferably Google Cloud Platform • Ability to develop packages in R or Python •Knowledge of insurance • Ability to develop a deep understanding of the underpinnings of advanced algorithms while using their own expertise to create new solutions for business problems across CNA • Ability to update and improve existing data science proprietary tools to incorporate new features • Ability to implement creative quantitative solutions into high quality, reusable and well documented code libraries• Ability to collaborate with Technology to rapidly prototype algorithms and code for proof-of-concept demonstrations to advance our cloud analytical capabilities. • Ability to communicate research findings and solutions in a clear manner and participate in training other data scientists in using the newly developed tools• Ability to advance the data science capabilities at CNA and contribute to the team's intellectual capital • Ability to champion the use of data science to drive change and to provide superior decision support
Director or AVP
Education & Experience
Advanced degree in a quantitative discipline, with a minimum of 3 years of relevant work experience required.