Senior Manager, Finance Data Analytics Lead
Questrade View all jobs
- North York, ON
- $135,000-155,000 per year
- Permanent
- Full-time
The Senior Manager, Finance Data Analytics Lead doesn’t just use AI as a buzzword, they use it as a tool to dismantle the friction of legacy finance. By owning the data lifecycle—from infrastructure build to final dataset—you will empower the bank to stop asking "what happened?" and start determining "how do we make it happen?"Need more details? Keep reading…In this role, responsibilities include but are not limited to:Designing and leading the long-term data and AI roadmap for the Finance division, ensuring alignment with the bank’s broader digital transformation goals.Identifying and championing "high-value" AI/ML use cases, such as automated P&L explains, predictive liquidity modeling, and intelligent cost allocation.Defining the standards for data governance, ensuring that every byte flowing through Finance Hub applications is accurate, compliant, and "single-source-of-truth" certified.Acting as a "bilingual" leader who can explain complex technical architectures to the CFO and financial concepts to the Engineering team.Leading the development of machine learning models to improve the accuracy of Net Interest Margin (NIM) and Return on Equity (ROE) projections.Implementing AI-driven monitoring to detect "fat-finger" manual entry errors or suspicious patterns in the General Ledger (GL) in real-time.Building automated frameworks for "What-If" analysis, allowing leadership to simulate the impact of interest rate hikes or economic downturns instantly.Overseeing the migration of legacy "siloed" finance data into cloud-native environments (e.g., Snowflake, Databricks, or Azure).Leading the end-to-end building of core data infrastructure. Designing and implementing the pipelines and environments necessary to support advanced financial modeling.Architecting and maintaining specialized datasets within Finance Hub applications. Translating complex business logic into structured data assets that enable seamless reporting and self-service analytics for the entire department.Driving the transition from legacy, manual workflows to automated, real-time analytics. Overseeing the migration of descriptive reporting into predictive and prescriptive models, utilizing AI to eliminate the "heavy lifting" of data reconciliation.Managing a team of data analysts, fostering a culture of technical excellence. Ensuring that your team balances regulatory rigor with the agility needed to provide "what-if" forecasting and strategic insights.Establishing a unified data layer that integrates disparate sources—including Treasury, Risk, and Retail Banking—to ensure consistency in reporting.Replacing manual Excel-based reconciliation with Python-based ETL (Extract, Transform, Load) pipelines to reduce "human-in-the-loop" risks.Building and managing a high-performing team of Data Analysts.Monitoring and reporting on department success using metrics such as Automation Rate, Model Accuracy, and Reduction in Reporting Cycle Time.So are YOU our next Senior Manager, Finance Data Analytics Lead? You are if you…Hold a post-secondary degree or equivalent in Computer Science or a related fieldHave 5+ years of related work experience in Data Analytics or Data Transformation, with at least 2 years at a leadership levelHave mastery of regression, time-series analysis, and machine learning specifically applied to financial forecastingHave a deep understanding of how to design scalable data pipelines and "Data Lakes" within a banking environment (e.g., Snowflake, Databricks)Have strong SQL proficiency for data extraction and Python or R for building automated analytical enginesAre able to transform large data sets into intuitive executive dashboards using Power BI or TableauUnderstand the data nuances of various banking products—ranging from simple savings accounts to complex derivatives and structured financePossess competency in analyzing interest rate risk, liquidity ratios, and funds transfer pricing (FTP)Are able to ensure AI models are not "black boxes," providing the transparency required by internal audit and external regulatorsPossess the "soft power" required to convince traditional finance teams to abandon manual processes in favor of automated AI toolsAre able to evaluate the ROI of various analytics projects and focus the team on the highest-impact initiativesHave experience leading data teams using Scrum or Kanban to ensure iterative delivery and constant alignment with business needsHave a proven track record of recruiting and upskilling "hybrid" talent who understand both code and capitalHave strong communication skills to collaborate effectively with multiple levels of leadership, both verbally and in writingAre pro-active and results-drivenAre able to multitask and work well under pressure, maintain strong attention to detail and prioritize work within tight deadlinesHave advanced proficiency in ExcelHave experience in banking, with emphasis on Data Analytics, Business Analytics, Data Modelling, Data Architecture, Machine Learning, Prompt Engineering, and AI integration and implementationAdditional kudos if you…Have NetSuite and Oracle EPBCS experienceCompensation Information:Base salary range: $135,000 - $155,000The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.Sounds like you? Click below to apply!#LI-NP1#LI-Hybrid