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Form of workRequisition ID: 194209
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Global Banking and Markets
Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years. Scotiabank's strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
Be part of an innovative, Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!
Purpose: Contributes to the overall success of the Global Analytics and Financial Engineering ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team's business strategies and objectives. Ensures all activities conducted are compliant 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 and risk models for Equity Derivatives products, and ensures their theoretical soundness, the numerical accuracy, and the implementation feasibility. In particular, the candidate should be proficient in understanding advanced stochastic processes and developing numerical solutions required for assessing value and risk of complex, path dependent products (for example: stochastic equity volatility, hybrid rates and equity models and similar).
- Develops robust and reliable front office analytics for trade prospecting, pricing, hedging, risk management and P/L attribution for products and portfolios in the context of end of day reporting as well as for intraday risk management purposes.
- Provides daily and on demand quantitative solutions to the business in a timely manner related to valuation, risks, P/L attribution, hedging and similar
- 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 in order to deploy models and products and guide front-to-back implementation solutions.
- 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
- 4+ years' experience in Equity Derivatives and structured notes products and their valuation models
- Knowledge of local volatility, stochastic volatility, multi-asset valuation, calibration schemes
- Solid background in PDE, Monte-Carlo and stochastic calculus
- Strong programming skills in C++, C++11 or higher version; experience with other programming languages such as Python
- Ability to work well in a fast-paced environment with changing priorities
Interested?
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.
Work Arrangement:
This position is currently an Onsite role, with the expectation that you will work 4-5 days a week in the office. Please note that this is subject to change based on the needs of the business.
#LI-Onsite
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
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
