Ville : Toronto, Ontario, Canada

Catégorie : Full time

Industrie : Public Services/Utilities

Employeur : Healthcare of Ontario Pension Plan (HOOPP)

Why you’ll love working here:

• high-performance, people-focused culture

• our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

• learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth

• membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security

• competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, and newly extended maternity/parental leave top of 26 weeks)

• optional post-retirement health and dental benefits subsidized at 50%

• yoga classes, meditation workshops, nutritional consultations, and wellness seminars

• access to an annual wellness reimbursement program for health and wellness-related expenses for permanent and temporary employees

• the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers

Job Summary:

Under the guidance of the Senior Director, Risk Analytics and Modelling, the Senior Manager, Risk Analytics and Modelling will develop and maintain risk models covering all derivatives, credit, fixed income, and equity investments, as well as alternative investments. The incumbent will develop new models and risk methodologies, run and validate existing models, and use HOOPP’s risk management system. The incumbent will also work on projects to ensure the proper governance of HOOPP’s risk management system and its models.

What you will do:

• Model derivatives, hedge funds, liabilities, and other securities within the risk management system. Review the models on a regular basis and ensure that the risk embedded is well measured and monitored. Work with other team members, traders, finance, and developers to add new instruments and models as required.

• Build models using Python for production and prototyping, validating models, and performing ad-hoc analysis. Establish new and state-of-the-art tools that help measure and provide insight on all financial risks, especially market, credit, and liquidity risk, faced by HOOPP.

• Work closely with internal control groups and external auditors in their review and validation of risk and valuation processes and models.

• Identify creative solutions to model the risk of “odd” products, especially for alternative investments and exotic derivatives.

• Implement and maintain appropriate levels of controls for model development and testing. Maintain documentation and controls consistent with what is required by internal and external auditors and other governance-related stakeholders.

• Leverage strong analytical capabilities in investment risk analysis and excellent writing and communication skills to ensure analyses are communicated clearly to Senior Management.

• Foster continual innovation and thought leadership by leveraging state-of-the-art industry intelligence and in-house risk expertise across the Risk Division.

• Provide senior management with ad hoc analysis relating to the risk and valuation models.

What you bring: ​

• Minimum of 8 years of professional experience in the financial industry including experience in a risk management department.

• Graduate degree in a quantitative field e.g. Math, Finance, Actuarial Science.

• Excellent writing, editing and problem-solving skills.

• Professional designation in finance (CFA, FRM).

• Strong technical skills. Some programming knowledge is required, Python is required.

• Strong quantitative skills. Knowledge of machine learning / big data is an asset.

• Excellent knowledge of risk management, derivatives and quantitative/statistical techniques.

• Excellent collaboration and relationship management skills, including the ability to manage and strengthen relationships across different teams and with vendors.

• Demonstrated ability to collaborate and work with a team, while also being self-motivated and able to work independently.