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About the Role

The Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. We are seeking a staff with machine learning & AI experience to join our team to coordinate the delivery of risk management, regulatory and business performance services to a variety of clients.

Responsibilities

• Involved in all aspects of the delivery of financial risk services to consulting client accounts.
• Provide specialized services in advanced analytics for risk management.

Requirements

• Quantitative graduate-level university degree required.
• 2-3 years of experience in software development and cloud architecture.
• Strong programming languages including Python.
• French speaking ability is an asset.
• Consulting or risk experience is a plus.

Skills

• Software development
• Cloud architecture
• Artificial intelligence
• Generative AI
• English communication
• Presentation skills
• Technical writing skills
• French communication (ideal)

Location

• Toronto

Work Type

• Full-time

Experience Level

• Staff

Education Level

• Graduate-level university degree

Salary/Compensations

• $54,000 to $81,500

Benefits

• $5,000 per year for mental health support benefits
• Wellbeing benefit of $1,200/year

About the Company

• EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
• Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
• EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
• Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
• At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience.
• While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience.
• We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

Equal Opportunity

• Inclusiveness is the heart of who we are and how we work.
• We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging.
• We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation.
• Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us.
• Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.