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Manager, Insurance Modeling - Financial Engineering & Modeling
Manager, Insurance Modeling - Financial Engineering & ModelingDeloitte • Vancouver, BC
Manager, Insurance Modeling - Financial Engineering & Modeling

Manager, Insurance Modeling - Financial Engineering & Modeling

Deloitte • Vancouver, BC
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Job Type :   Permanent

Work Model :   Hybrid

Reference code :   127044

Primary Location :   Toronto, ON

All Available Locations :   Toronto, ON; Vancouver, BC

Our Purpose

At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

By living our Purpose, we will make an impact that matters.

  • Learn from deep subject matter experts through mentoring and on the job coaching
  • Be encouraged to deepen your technical skills…whatever those may be.
  • Have many careers in one Firm.

Would you like to further develop your career with our exponentially expanding the Financial Engineering & 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 & Modeling team, you will :

  • Lead and mentor a team of analysts and associates
  • Lead the model validations of insurance models (pricing, valuation, ALM, LICAT, etc) in compliance with the Model Risk Policy, standards and guidelines
  • 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 team

    The Financial Engineering & Modeling 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
  • 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 you

    You are someone who is / has :

  • A Bachelor’s degree or higher in a quantitative field such as actuarial science, statistics, and mathematical finance, ideally FSA with 6+ years of experience
  • Strong technical skills including Axis, Excel, VBA, and Python. Knowledge of IFRS 17 and 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 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
  • Ability to lead a team of analysts
  • Total Rewards

    The salary range for this position is $95,000 - $159,000, 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. Some representative examples include : $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as "Deloitte Days"), flexible work arrangements and a hybrid work structure.

    Our promise to our people : Deloitte is where potential comes to life.

    Be yourself, and more.

    We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

    You shape how we make impact.

    Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

    Be the leader you want to be

    Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

    Have as many careers as you want.

    We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

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