Overview
At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world. To support its strong growth, KPMG is recruiting a number of professionals in the financial services sector. You will be involved in a variety of projects with clients exclusively in the financial services industry, including insurance companies and major Canadian banks.
Depending on your interests, you will work closely with partners and managers on engagements related to:
- quantitative modelling
- actuarial science
You are highly motivated and enthusiastic about taking on various challenges and working on projects of strategic importance. You have a strong ability to home in on key quantitative and qualitative concepts to develop value-added recommendations for our clients. You are a big-picture thinker and grasp new concepts quickly.
You have an excellent academic record and high intellectual curiosity. You are a team player able to adapt quickly to new challenges and demonstrate a keen sense of initiative and resourcefulness. You are disciplined and constantly strive to deliver superior quality work.
What You Will Do- Help carry out engagements regarding process reviews and optimization, strategic support and model reviews. Depending on your interests, engagements may cover the following types of activities:
- Actuarial research and statistical analysis to inform pricing calculations
- Actuarial modeling using deterministic and stochastic methods by using various machine learning techniques
- Development of tools and analytics in the actuarial context
- Financial risk management, including the metrics and models used and governance
- Support managers in drafting deliverables
- Quickly grasp concepts and issues that are key to meeting client needs and suggest potential solutions or areas for improvement
- Interact effectively with other team members and clients (internal and external)
- Support the team as needed on engagements involving pricing, control and governance reviews or requiring quantitative analysis (including statistical factors)
- Understanding of how insurance companies operate
- Ability to clearly structure and summarize a number of concepts and make compelling recommendations
- Skilled at producing compelling presentations and reports
- Strong analytical and problem-solving skills
- Excellent communication skills
- Sense of initiative and strong organizational and priority management skills
- Demonstrated ability to learn and succeed in a fast-paced, high-pressure environment
- Excellent teamwork and relationship-building skills
- A proven ability to handle a broad range of activities with competing priorities
- Highly disciplined and detail-oriented
- Graduate diploma in finance, financial engineering, actuarial science, economics, financial economics or any related field, or a combination of a bachelor’s degree and a professional designation (ACAS, FCAS)
- Minimum 6 years of experience in financial analysis, actuarial analysis, risk analysis, data science, statistical and quantitative modelling, or other similar relevant experience
- Quantitative modelling
- Knowledge of statistical modelling techniques (generalized linear regression, machine learning, variable selection methods, Monte Carlo simulation, etc.)
- Knowledge of a programming language (Python, R)
- Strong ability to understand and model various interest rates
- Actuarial modeling
- Hands-on experience with actuarial modeling software Emblem, Radar or Earnix (an asset)
- Knowledge of data languages like SQL, VBA, SAS
- Knowledge of P&C products
The position involves working with English speaking clients and the incumbent must be able to communicate with the clients, both verbally and in writing, in English. They also must be able to assist with the preparation of English language documents.
This role is hybrid and requires in-person presence in our Montreal Office
.
Our Values, The KPMG Way:
Integrity
, we do what is right |
Excellence
, we never stop learning and improving |
Courage
, we…
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