Manager - Capital Markets Quant

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The opportunityAs a Manager, you will lead quantitative financial risk management engagements for banks, pension funds, insurers, credit unions and asset managers. You will guide multidisciplinary teams and help clients address complex matters across capital markets, market risk, model risk, market data, valuation, counterparty credit risk and treasury risk management.
This job posting relates to an existing vacancy within our organization.
Your key responsibilitiesAs part of EY’s Financial Services Risk Management practice, you will support clients across complex capital markets, market risk and treasury matters by combining quantitative analysis with practical business, risk, data and technology considerations.
Lead quantitative analysis, model development or validation, proofs of concept and the conversion of emerging methods into practical client solutions.
Advise clients on capital markets, market risk, counterparty credit risk, market data, valuation adjustments, risk transformation or treasury risk matters.
Integrate business, risk, finance, data and technology considerations into engagement delivery and recommendations.
Shape proposals and transformation roadmaps, manage delivery and commercial outcomes, and communicate with senior stakeholders.
Lead and coach multidisciplinary delivery teams while maintaining quality, risk and project management standards.
Skills and attributes for successSuccess in this role requires strong quantitative capabilities, sound judgment and the ability to communicate technical matters clearly to clients and stakeholders.
Deep expertise in at least one relevant domain, including derivatives pricing, market risk, counterparty credit risk, model development or validation, model risk, market data, valuation adjustments, risk transformation or treasury risk.
Knowledge of relevant regulatory, data, control and audit requirements across capital markets and treasury.
Knowledge of AI/ML and generative AI applications, modern data and cloud technologies, model governance, explainability and responsible AI.
Strong stakeholder management, commercial judgment, communication and team leadership capabilities.
Required qualifications
A master’s degree or PhD in finance, engineering, computer science, mathematics, physics, statistics or a related field.
Four to eight years of relevant financial risk management experience, including progressive responsibility for capital markets, market risk, market data, valuation, counterparty credit risk or treasury engagements.
Ability and motivation to work closely with quantitative, business and technology professionals and lead a small delivery team.
Ideally, you’ll also have
Relevant professional credentials or demonstrated thought leadership.
Experience advising on digital assets, tokenized securities or distributed ledger technology and associated valuation, market, counterparty, liquidity, data, model governance and regulatory risk considerations.
What we look forWe are looking for collaborative professionals who combine strong quantitative capabilities with practical business judgment and clear communication. Successful candidates will be comfortable working across business, risk, finance, data and technology considerations in a fast-paced consulting environment.
What we offerWe offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones will help you create a solid foundation for your future.
Our package includes a discretionary bonus program, comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, vacation policy plus firm-paid days, statutory holidays, paid personal days based on province of residence, and programs and benefits designed to support physical, financial and social well-being.
You will also receive:
Support and coaching from engaging colleagues across the industry.
Learning opportunities to develop new skills and progress your career.
The freedom and flexibility to handle your role in a way that works for you.
EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated ranges are determined based on a wide variety of factors, including internal equity, education, relevant experience, knowledge and applicable skill sets.
Inclusiveness at EYInclusivenessisat the heart of who we are and how we work.We’recommitted to fostering an environment where differences are valued, policies and practices areequitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting ourneuroinclusionand accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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