Director, Model Validation and Analytics

1 month ago

Toronto, Canada Healthcare of Ontario Pension Plan (HOOPP) Full time
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:

Reporting to the Senior Director, Model Validation and Analytics the Director will be responsible for the oversight of valuation models that underpin market, credit and liquidity risk measurement with models covering all derivatives, credit, fixed income and equity instruments, as well as alternative investments. The incumbent will contribute to the development and maintenance of risk models, primarily for market risk but also exposure measurement and country and FX risk. The Director will also be involved with the development and compliance of policies relating to the governance of model risk as well as advising on appropriate IT infrastructure for risk Provide ad hoc analysis in response to questions from senior management.

What you will do:
  • Manage the development, validation, and implementation of valuation and risk models across functional teams, including quantitative consultants, IT business analysts, developers, and data teams.
  • Propose, implement and maintain appropriate levels of controls for model development and testing. Maintaining documentation and controls consistent with what is required my internal and external auditors and other governance-related stakeholders.
  • Manage performance, training and onboarding of team members who are actively involved in the development of HOOPP's valuation and risk models.
  • Build models using Python for production and prototyping, validating models, and performing ad-hoc analysis.
  • Maintain active dialogue with other risk leaders as well as other financial professions in risk, trading and finance departments in order to develop appropriate risk and valuation models.
  • Work both with IT and members of the group to develop and implement models, using techniques that promote automated processing and production-level development practices.
  • Work closely with internal controls group and external auditors in their review and validation of risk and valuation processes and models.
  • identify creative solutions to "odd" product valuation and risk calculations, especially in the area of alternative investments and exotic derivatives.
  • Provide senior management with ad hoc analysis relating to the risk and valuation models.


What you bring:
  • Experience building valuation and risk models for both alternative and capital market investments using Python.
  • Experience using 3rd party software for managing risk, especially for valuing financial instruments, is an asset. Example include Blackrock's Aladdin, SS&S (formally Algorithmics) RiskWatch, or MSCI.
  • Experience modelling alternative assets is an asset.
  • Master's degree in a quantitative field e.g. Math, Finance, Actuarial Science.
  • Professional designation in finance (CFA, FRM, PRM).
  • Minimum of 10 years' experience in quantitative finance.
  • Experience in project management across multi-functional teams
  • Experience with best practice for model development (both at the code level and in general development methodologies).
  • Excellent collaboration and relationship management skills, including the ability to manage and strengthen relationships across different teams.
  • Ability to build and motivate strong technical contributors.
  • Excellent communication, interpersonal and leadership.

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