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Job Type: Permanent
Work Model: Hybrid
Reference code: 134967
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Vancouver, BC
--Would you like to further develop your career with our exponentially expanding Financial Engineering and Modeling group? Are you up for the challenge to help the most sophisticated Canadian and international clients to solve their quantitative and modelling issues?What will your typical day look like?As a Manager focusing on Insurance practice in our Financial Engineering & Modelling team, you will:
- Lead and mentor a team of analysts and consultants
- Lead the model validations of insurance models (reserving, pricing, economic capital, predictive analytics) in compliance with the Model Risk Policy, standards and guideline
- Identify potential risks embedded in the model design and usage, and provide constructive challenges and recommendations to mitigate model risk
- Communicate the model validation results to senior leadership and model owners, prepare and review a Model Validation plan/report that details the validation scope, testing approach, test results, findings and conclusions
- Assist with business development initiatives
While this role focuses on insurance model validation, it is a very dynamic opportunity to work closely with other areas and broaden your horizon.
About the teamThe Financial Engineering & Modelling team is composed of a wide range of subject matter experts from Quantitative Finance backgrounds working with all manner of modeling types. We have the leading quantitative practice in the Canadian market and cover models including market risk, credit risk, fraud, AML, insurance, treasury and machine learning. Our team members have advanced degrees in mathematics, financial engineering, statistics, physics and actuarial science.
Working with this team will offer you the opportunity to:
- Work in a fast-paced and thought-provoking environment with like-minded people who are experienced in quantitative finance / insurance fields
- Develop advanced professional and consultative skills needed to advance in your chosen career path
- Exposure to high-profile clients including banks, insurance firms, funds, credit unions through a variety of engagements
- Exposure to the most advance modeling techniques used in the financial services industry
Enough about us, let's talk about youYou are someone who is/has:
- A Bachelor's degree or higher in a quantitative field such as actuarial science, statistics, and mathematical finance, ideally FCAS with 6+ years of experience
- Strong technical skills including ResQ, Excel, VBA, SAS, Emblem, and Python. Knowledge of programming is an asset
- Ability to work under tight deadlines and manage multiple priorities/projects
- Ability to explain complex actuarial and financial modeling techniques in a simple and concise way
- Ability to lead a team of analysts and consultants
- Ability to work independently and in cross-functional team settings
- Excellent analytical and problem-solving skills
- Excellent verbal and written skills
- Pays great attention to details
- Takes initiatives and ownership of projects
Total RewardsThe salary range for this position is $101,000 - $169,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.
