Senior Manager, Advanced Analytics

Role Overview

• act as subject matter expert on SAS (primarily) or Python, MLE, automation, and results aggregation
• develop & maintain the backend automation infrastructure for the team's model development & execution commitments
• support the team's ongoing efforts towards operational resilience through the development of robust automation processes and the promotion of sound programming practices
• drive bespoke solutions for modelling endeavors where available data is limited, noisy, incomplete, or otherwise unfit for use as-is
• maintain up-to-date documentation on data processing steps and conventions
• develop & maintain team-wide programming best practices, style guide, and other tools to help drive consistency and reliability of modelling outcomes
• hands on work with ad-hoc analyses and assessment of data quality
• lead the preparation of ad hoc analysis for senior leadership
• deepen the team's understanding and recordkeeping of metadata and qualitative attributes relating to data sources, including known deficiencies and other details relevant to a data source's suitability for modelling
• communicate difficult concepts; convert information to compelling business context and advice; influence and gain alignment across increasingly senior stakeholders
• work with minimal supervision in an unstructured and fast-paced environment

Requirements

• 7+ years relevant experience
• high degree of SAS programming proficiency
• experience with adjacent programming technologies (R, Python) considered an asset
• experience with using SAS for enterprise data processing & automation
• undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
• graduate's degree preferred
• in-depth knowledge of quantitative models and statistical analysis
• Canadian P&C and/or Canadian Wealth and/or NII experience or associated finance support considered beneficial
• data analytics competencies supported by experience in traversing large data sets to perform analytics/drive business insights
• experience with Stress Testing & Knowledge of PPNR requirements
• advanced knowledge of quantitative forecasting models, financial analysis techniques and methodologies
• proven ability to employ complex analytical tools and statistics to perform analysis and forecasting of financial and other business information
• demonstrated ability to drive transformation and change
• excellent written and verbal communication skills are essential
• ability to successfully plan, develop, lead, and execute projects
• ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
• proven ability to manage competing priorities effectively, making good decisions based on business priorities and objectives
• proficiency with MS Office Suite, including a strong competency in MS Excel and Power BI

Tech Stack

• Python

Benefits

• health and well-being benefits
• savings and retirement programs
• paid time off
• banking benefits and discounts
• career development
• reward and recognition programs