Associate, Global Analytics and Financial Engineering

Scotiabank • New York City, NY

7d

About The Position

Global Banking and Markets (GBM) is a leading Capital Markets and Investment Banking platform with a competitive presence across the Americas, operating globally over 100 years. Scotiabank’s strong US 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 including transaction banking and trade finance solutions. 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 to every future! Purpose Global Analytics and Financial Engineering is a critical function within the Bank’s Global Banking and Markets (GBM) division. The derivatives valuation models and analytics developed by the team are used globally for pricing, hedging, risk management, trading limits and capital. The accuracy and the performance of these models have a direct impact on GBM’s competitiveness and profitability. The reliability and the robustness of the analytics enable the business to view and manage risks efficiently. What You'll Do: Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Collaborate with senior members to learn about derivatives products, valuation models, and the model development technology stacks. Develops valuation models for Emerging Markets products, and ensures theoretical soundness, numerical accuracy, and the implementation correctness of these models. Participate in the development and support of front office analytics used for pricing, hedging, and risk management. Provide subject matter expertise to our model and analytics stakeholders such as trading and sales, risk management teams, and technology groups. Apply the Bank’s risk appetite and risk culture in day-to-day activities and decisions. What You'll Bring: Doctorate or master’s degree in quantitative finance, mathematics, computer science, physics, or other quantitative areas. Up to 2 years’ experience after graduation with a passion for quantitative finance. Demonstrable knowledge of numerical methods and computational modelling: for example, finite difference / finite element, Monte Carlo simulation, optimization, artificial intelligence. Strong programming skills in C++ or Python and the willingness to learn other programming languages. Good communication and interpersonal skills and a team player and ability to work well in a fast-paced environment with changing priorities. Solutions-focused attitude, recognizing opportunities to not only learn but to contribute to team outcomes, and showing ownership over delivery.

Requirements

• Doctorate or master’s degree in quantitative finance, mathematics, computer science, physics, or other quantitative areas.
• Up to 2 years’ experience after graduation with a passion for quantitative finance.
• Demonstrable knowledge of numerical methods and computational modelling: for example, finite difference / finite element, Monte Carlo simulation, optimization, artificial intelligence.
• Strong programming skills in C++ or Python and the willingness to learn other programming languages.
• Good communication and interpersonal skills and a team player and ability to work well in a fast-paced environment with changing priorities.
• Solutions-focused attitude, recognizing opportunities to not only learn but to contribute to team outcomes, and showing ownership over delivery.
• Strong organizational, analytical skills and attention to detail
• Excellent verbal and written communication and interpersonal skills
• Ability to work collaboratively in a fast-paced environment

Nice To Haves

• Knowledge of reinforcement learning or deep learning is considered an asset.

Responsibilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Collaborate with senior members to learn about derivatives products, valuation models, and the model development technology stacks.
• Develops valuation models for Emerging Markets products, and ensures theoretical soundness, numerical accuracy, and the implementation correctness of these models.
• Participate in the development and support of front office analytics used for pricing, hedging, and risk management.
• Provide subject matter expertise to our model and analytics stakeholders such as trading and sales, risk management teams, and technology groups.
• Apply the Bank’s risk appetite and risk culture in day-to-day activities and decisions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees