Senior Actuarial Analyst (Modelling)
Definity
Date: 1 week ago
City: Mississauga, ON
Contract type: Full time
Definity is the parent company to some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. Our ambition is to be one of Canada’s leading and most innovative property and casualty insurers. We can’t do that without our people, so we embrace and encourage a culture that’s collaborative, ambitious, rewarding, and empowering.
We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.
Reporting to the Personal Insurance Modelling Manger, your responsibilities include contributions to modelling projects using state of the art machine learning techniques, innovative approaches as well as the coaching and mentoring of less experienced analysts. This role is at the intersection of data science and actuarial ratemaking, you will work collaboratively with the rating teams to ensure our continued success. Projects are varied and include the creation of loss cost and demand models, continuous improvement of our tools and processes, identifying actionable insights through data analysis to improve our book of business. In this role, you will have exposure to the entire model lifecycle for multiple lines of business, with valuable project leadership opportunities, exposure to higher management and career development potential.
What can you expect in this role?
What's in it for you?
Go ahead and expect a lot — you deserve it.
It's better here — but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].
Background checks
This role requires successful clearance of background checks (including criminal checks and leadership references).
We offer a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Bring your true self and be a part of our journey. It’s better here.
Reporting to the Personal Insurance Modelling Manger, your responsibilities include contributions to modelling projects using state of the art machine learning techniques, innovative approaches as well as the coaching and mentoring of less experienced analysts. This role is at the intersection of data science and actuarial ratemaking, you will work collaboratively with the rating teams to ensure our continued success. Projects are varied and include the creation of loss cost and demand models, continuous improvement of our tools and processes, identifying actionable insights through data analysis to improve our book of business. In this role, you will have exposure to the entire model lifecycle for multiple lines of business, with valuable project leadership opportunities, exposure to higher management and career development potential.
What can you expect in this role?
- Lead the creation and refresh of predictive models
- Participate in creating solutions for current and emerging trends
- Engage with internal and external stakeholders
- Identify opportunities for process efficiencies within the modelling space
- Develop and apply your experience with database and predictive modeling software to prepare and analyze data for various applications
- Independently respond to routine requests of internal and external stakeholders related to standard reports and processes.
- Effectively manage timelines for independent projects and analysis
- Communicate actuarial concepts and make recommendations to management both verbally and in writing with supporting documentation
- Measure, track, and monitor the performance of our predictive models
- Perform peer reviews on the technical and qualitative analysis of peers
- University degree in a quantitative discipline such as: programs: Actuarial Sciences, Mathematics, Statistics
- Completion of at least 4 exams of the Casualty Actuarial Society
- 3 or more years of relevant full-time experience
- Experience in different programming languages such as Python and R, and proficient in SQL. Familiarity with the Google Cloud Platform is an asset.
- Understanding of machine learning concepts and popular algorithms such as GLM, GAM, XGBoost.
- Strong communication skills with the capacity to communicate complex technical concepts to diverse audiences
- Have the drive to innovate, and challenge the status quo
- Excels both in collaborative environments and when working autonomously
What's in it for you?
- Hybrid work schedule for most roles
- Company share ownership program
- Pension and savings programs, with company-matched RRSP contributions
- Paid volunteer days and company matching on charitable donations
- Educational resources, tuition assistance, and paid time off to study for exams
- Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
- Wellness and recognition programs
- Discounts on products and services
Go ahead and expect a lot — you deserve it.
It's better here — but don't take our word for it. Definity was named by Great Place to Work as one of the Best Workplaces in Canada for women, for youth, and for inclusion.
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting [email protected].
Background checks
This role requires successful clearance of background checks (including criminal checks and leadership references).
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