Job Description

Description :

Company: CGL
Department: Corporate Actuarial Services
Employment Type: Regular Full-Time
Work Model: Hybrid
Language: Bilingualism in English and French is an asset.
Additional Information:
The level of experience for this role is flexible. Candidates with more experience will also be considered.
This position primarily works with majority non-francophone groups, and teams located outside of Qu\xc3\xa9bec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.

The Opportunity:

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That\xe2\x80\x99s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.
Our national Finance team aspires to create, enhance, and protect value for our organization and its stakeholders. Our knowledgeable team educates and influences the organization to make well-informed, risk-based decisions. We think innovatively and strategically to solve business problems and strive to move our business forward with practical, integrated processes and tools that ensure organizational success.
As a Senior Data Scientist on the Corporate Actuarial team, you will contribute to the automate reserving initiative while also supporting his team through coaching on clever use of data and advanced analytics. You will be responsible for providing significant business value through the creation; maintenance; implementation of analytical models. You will also effectively communicate findings and recommendations to a business audience.

How you will create impact:

• Champion and able to coach other in at least one programming language.
• You define the required models/technique to solve business problems and support other thorough the execution.
• You are fully proficient in data science, having a proven track record in programming, using various statistical techniques, predictive modelling methods, and machine learning algorithms to achieve the expected outcome.
• You autonomously deliver and design production ready models and analytic solutions.
• You coach peers on the use of a scientific methodology in all projects, tasks, and interactions.
• With guidance, you design data science projects by breaking complex problems or high-level business objectives into smaller problems that can be addressed using data science.
• With guidance from your manager, you make recommendations, and you influence your audience, including management.

How you will succeed:

• You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
• You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions, and proactively propose solutions.
• You have strong communication skills to clearly convey messages and explore diverse points of view.
• You build trusting relationships and provide guidance to support the development of colleagues.

To join our team:

• You have 6-9 years of experience in Data Science, Actuarial or another related field.
• You have a Bachelor\xe2\x80\x99s Degree in Actuarial, Mathematics, Statistics, Computer Science, or any other relevant field.
• Having a Master\xe2\x80\x99s degree , ACAS or FCAS designations are considered an asset.
• You have strong knowledge and understanding of data analysis, programing tools, modelling techniques and research.
• You have experience solving complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information and can provide clear recommendations for improvement.
• You have working knowledge of modeling softwares and programming languages (R, Python, SCALA, SQL).

What you need to know:

• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.

What\xe2\x80\x99s in it for you?

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• A comprehensive total rewards package, including competitive salary, bonus, pension, and benefits.

The Co-operators