.Job RequirementsKey ObjectivesMajor**Responsibilities**:- Build predictive models and analytic solutions, with some supervision, to support the Commercial underwriting and marketing functions.- Assist in brainstorming potential data sources that may contain predictive variables. Identify, acquire, evaluate, and document data from these various sources, both internal and external.- Collaborate in extracting and manipulating data using data management tools from internal and external data sources.- Understand and combine data from various sources to create analytics data sets. Develop an intermediate working knowledge of how current systems and data sources are populated and sourced.- Analyse data, draw meaningful conclusions, and assist in developing solutions to help drive profitability and/or growth.- Introduce novel methodologies, algorithms, tools, and technologies to solve assigned problems.- Collaborate with other analytics teams (i.E., Applied AI, Emerging Risks) to achieve objectives.- Build partnerships with key counterparts.- Communicate and present findings to business partners to ensure successful integration of projects into business process. Proactively follow up on any issues that were raised during presentations.- Participate in developing solutions to implement models into production. Work with I/T in the design and testing of models.- Monitor the performance and usage of models. Ensure that the reports suit the needs of the audience.- Create and maintain clear and concise documentation associated with models.- Support business requests which require statistical analysis.- Provide training guidance and assistance to colleagues.Desired Qualifications- Minimum of a bachelor's degree, preferably in Statistics, Mathematics, Analytics or Computer Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred.- 3+ years of predictive analytics experience, preferably in the insurance industry.- Business experience and knowledge of P&C industry, including actuarial science, is a plus.- Understanding of business challenges, design analytical solutions, using advanced modelling techniques and synthesize insights to business decision making process.- Intermediate knowledge in statistical analysis and multivariate procedures. Knowledge of Machine Learning techniques and AI is a plus.- Experience with a statistical package (Python, R, SAS) and/or data management (SQL) and/or programming is preferred.- Experience with text analytics is a plus.- Excellent oral and written communication skills. Ability to articulate an intermediate level of understanding of work products.- Ability to complete analytical tasks independently with some guidance, if necessary.- Strong organizational skills, able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner.- Ability to work in a team environment