Manager, Forecasting and Value Analytics

BMO•Toronto, ON

6d•Hybrid

About The Position

The mission of the Analytics Centre of Excellence is to use insights and best in class data to better understand what drives the customer experience, ultimately strengthening customer loyalty, increasing profitability, and improving efficiencies as customers continue to expect more of BMO. This role supports this objective by leveraging the use of advanced analytical techniques and tools to develop and maintain tools for financial forecasting and measurement of profitability valuation. Mandate: This role is accountable to support the Canadian Personal Portfolio with financial forecasting, valuation, customer and portfolio analytics, as well as acting as SME on customer level value processes and accountabilities. Specific customer value processes include: Financial modelling, risk modelling, customer profitability and value analytics inclusive of segmentation schematics.

Requirements

University degree in quantitative field (finance, math/statistics degree).
At least 5 years of relevant experience with a major financial institution.
Strong familiarity with retail banking product economics.
Strong database querying and analytic tool management experience including SAS, SQL, R, Python, Excel.
Knowledge of financial analysis and forecasting and applying machine learning statistical concepts successfully.
Knowledge of activity-based costing principles and a demonstrated history of applying those concepts successfully.
Ability to independently conceptualize and explain financial ideas.
Keen business knowledge and understanding of the appropriate ways to use profitability information to support business decisions.
Strong team player.
Strong written and verbal communication skills.

Nice To Haves

FRM or CFA designations are a benefit

Responsibilities

Support the monthly balance, loss, and profitability forecasting processes and provide key insights and financial outlook for partners across P&C.
Develop and maintain new and existing forecasting tools by using micro-segmentation approach and macroeconomic overlays.
Create scenario and sensitivity analysis to test the reasonability and strength of the forecast, fostering the trust and confidence of the financial outlook.
Own root cause analysis of forecast variances versus actuals across balances, losses, and profitability, identifying key drivers related to customer behavior, strategy execution, macroeconomic conditions, and model assumptions.
Support P&C Segment with ad-hoc customer and portfolio analytics along with acting as SME on processes, products and transactional & revenue data.
Support ongoing analytic requests that aid in the organizations understanding of customer, channel and profitability.
Establish and maintain both analytical model development and financial performance measurement standards.
Ensure that models are updated with key inputs and assumptions.
Lead the automation of financial performance measurement tools and model deployment processes.