7 часов назад
Senior Manager, Treasury Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Treasury Analytics (Treasury Risk and Quantitative Modeling): Supporting consumer behavioural risk management through retail product analytics, interest rate derivative valuation, and cash-flow modeling with an accent on quantitative analysis, risk measurement, and Treasury systems integration. Focus on developing GLM and survival-analysis models, prototyping hedging strategies, and explaining PnL and risk drivers to management and business partners.
Location: Toronto, ON; hybrid arrangement with 1–3 days per week on-site
Company
CIBC is a relationship-oriented bank focused on modern banking services and client outcomes.
What you will do
- Support Treasury Analytics methodologies, business initiatives, data requirements, and integration across Treasury systems.
- Maintain pricing, risk, and analytics libraries, including model governance, documentation, quality assurance, and user-acceptance testing.
- Develop analytics for retail product risk representation and funds transfer pricing, including valuation and market risk analysis for interest rate derivatives.
- Apply customer behaviour modeling techniques such as GLM and survival analysis using Python, R, SQL, and related tools.
- Support cash-flow modeling books, PnL decomposition, and daily and monthly cash-flow modeling PnL activities.
- Communicate analytical findings, modeling insights, PnL variability, and risk drivers to management, business partners, Lines of Business, and Treasury stakeholders.
Requirements
- At least 3 years of experience in ALM, analytics, modeling, and risk management within a bank or financial institution.
- Strong experience in applied mathematical, quantitative, statistical, or stochastic modeling and programming with C++, Python, R, SQL, or similar languages.
- Knowledge of financial economics, fixed income theory, statistics, treasury processes, risk management, balance-sheet modeling, and option modeling.
- Experience with interest rate derivatives, valuation, hedging, risk measurement, and retail banking products such as commitments, mortgages, or GICs.
- Experience with advanced GLM, including Cox regression, panel time series, and model selection.
- Master’s or doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics, or a related technical field.
Culture & Benefits
- Hybrid work environment with flexibility to manage work activities between remote and on-site days.
- Competitive salary, incentive pay, banking benefits, and a benefits program.
- Defined benefit pension plan, employee share purchase plan, vacation, and wellbeing support.
- Learning and development opportunities, including a paid Purpose Day.
- Inclusive and accessible workplace with accommodation support during the hiring process.
Hiring process
- Applicants may complete an attribute-based assessment and skills tests, including simulation, coding, or French proficiency assessments.
- Artificial intelligence tools may be used during recruitment.
- Applicants must be legally eligible to work at the specified location and hold a valid work or study permit where applicable.
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