Requisition ID: 264689
PurposeContributes to the overall success of the Global Analytics and Financial Engineering in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team's business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.
What You'll Do: - Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Develops valuation models for equity derivatives and structured notes products, and ensures the theoretical soundness, the numerical accuracy, and the implementation correctness of these models.
- Develops robust, reliable and user-friendly front office analytics for pricing, hedging, risk management and P&L attribution for both intraday and end of day
- Provides daily and on demand quantitative support to the business in a timely manner related to valuation, risks, PnL attribution, hedging and so on
- Provides subject matter expertise to model stakeholders such as the business, risk management, audit, product control and technology groups during and post of the model implementation.
- Forms a close partnership with the business to deliver models and analytics to production from end to end with limited supervision
- Keep oneself current on the advancements of models and related technology, and proactively introduces these advancements into the bank.
- Understands how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
- Champions a high performance environment and contributes to an inclusive work environment.
What You'll Bring:- PhD or master's degree in mathematics, Computer Science, Software Engineering, Physics or other quantitative areas
- 1-4+ years' experience in equity derivatives and structured notes products and their valuation models
- Solid understanding of derivative pricing and equity derivatives, with particular expertise in PDE, Monte Carlo methods, local volatility (LV) and local stochastic volatility (LSV) models.
- Strong programming skills in C++, C++11 or higher version; experience with other programming languages such as Python
- Very good communication and interpersonal skills and a team player
- Ability to work well in a fast-paced environment with changing priorities
Work Arrangement: This position is currently an on-site role, with the expectation that you will work at least
4 days a week in the office. Please note that this is subject to change based on the needs of the business.
Interested?If your experience is closely related but doesn't align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That's why we work to grow and diversify talent and engage employees in a performance-oriented culture.
What's in it for you?Scotiabank wants you to be able to bring your best self to work - and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs
Location(s): Canada : Ontario : Toronto
