Manager, Advanced Analytics-2

Nous et certains tiers sélectionnés utilisons des technologies et des outils de suivi (témoins) pour recueillir des renseignements sur votre utilisation de ce site Web. Les témoins essentiels soutiennent les fonctionnalités de base du site, la sécurité et la protection des renseignements personnels. Ils restent activés à moins que vous les désactiviez dans les paramètres de votre navigateur. Si vous choisissez de désactiver les témoins essentiels, certaines fonctionnalités du site Web pourraient ne pas fonctionner comme prévu, ce qui pourrait nuire à votre expérience. Les témoins non essentiels recueillent certains renseignements sur votre utilisation de notre site Web, qui fournissent des données supplémentaires et peuvent également être utilisés par des tiers à leurs propres fins et conformément à leurs politiques en matière de protection des renseignements personnels et de témoins. Les témoins non essentiels demeurent désactivés, à moins que vous choisissiez de les accepter. Pour obtenir de plus amples renseignements, consultez notre **.****Lieu de travail :**Toronto, Ontario, Canada**Horaire :**37.5**Secteur d’activité :**Analyses, informations et intelligence artificielle**Détails de la rémunération :**96,900 - 136,800 CADLa TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.**Description du poste :****Department Overview**Forecast Methodologies is part of TBSM's Enterprise Stress Testing (EST), responsible for central ownership and analysis of the balance sheet and income Statement Forecast Methodologies for EWST & MST.The Canadian Line of Business Vertical team within EST is a cross-functional group supporting the end-to-end stress testing functions for TD's Canadian businesses including P&C, Wealth, and Insurance.

Our work encompasses multiple workstreams including data aggregation, model execution, model development, reporting/analytics, governance, and supporting regulatory requirements.**Breadth & Depth*** End-to-end execution of the segment stress testing processes, models, documentation, and framework* Report on Stress Test Forecast Results timely and accurately, analyze the drivers to results trending.* Development and implementation of econometric time-series models for use in generation of stress testing results.* Act as subject matter expert on all stress testing, forecasting and ad-hoc results.* Performs statistical model assumptions' tests for soundness of model theory.* Maintain up-to-date documentation on execution steps, business logic, data definition, and forecast assumptions.* Hands on modeling in the entire life cycle including preparation of model development report (MDR) and annual model monitoring (AMR)* Liaise extensively with Finance groups, to ensure all relevant components are reported appropriately.* Lead the preparation of ad hoc analysis for senior leadership.* Uses sophisticated analytical thought to exercise judgement and identify solutions.* Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders.* Must be able to work with minimal supervision in an unstructured and fast-paced environment.**Education & Experience*** Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred.* 5+ years relevant experience, In-depth knowledge of quantitative models and statistical analysis* Canadian P&C and/or Canadian Wealth experience or associated finance support considered beneficial.* Experience in key programming platforms

+ Competency in SAS or Python is required.

+ Working knowledge of visualization tools, SAS VA / MLE recommended.* Experience with Stress Testing & Knowledge of PPNR modelling 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.* Proven interpersonal and consultative communication skills with well-developed presentation skills.* 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.* Advanced level in statistical analysis and modeling tools* Data analytics competencies supported by experience in traversing large data sets to perform analytics/drive business insights.* Proficiency with MS Office Suite, including a strong competency in both MS Excel and MS PowerPoint.**Customer Accountabilities*** Maintain up-to-date documentation on execution steps, business logic, data definition, and forecast assumptions.* Participate in working groups and building relationships with key stakeholders including CAD P&C Finance, Wealth Finance, Corporate segment finance, Line of Business leadership and strategy team, Enterprise Capital Stress testing team, Data, Modeling, NII teams, Credit & Operational Risk teams.* Maintain good relations with all internal stakeholders and ensure that all their requirements are met.* Monitor/report on compliance, management, and strategic initiatives.* Support established enterprise-wide risk escalation, review and approval processes, data management, policies and risk assessment processes.* Should be able to develop good business relationships with internal partners.* Analytical, problem solving and consensus building skills.**Shareholder Accountabilities:*** Drive a culture of continuous improvement and efficiency by ensuring efficient and effective processes, leveraging automation where appropriate.* Work is guided by policies and industry standards/methods.* Work in a highly interactive, team-oriented environment with Stakeholders across the enterprise.* Ensure core Bank data and metadata is appropriately managed to support business requirements / needs.* Consistently exercise discretion in managing correspondence, information, and all matters of confidentiality; escalate issues where appropriate.* Must be able to think conceptually (“out-of-the-box”) and have a high degree of attention for detail.**Employee/Team Accountabilities:*** Provides training and mentoring for new and less experienced staff.* Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques* Prioritize and manage own workload to deliver quality results and meet assigned timelines.* Support a positive work environment that promotes service to the business, quality, innovation, and teamwork and ensure timely communication of issues/ points of interest.* Identify and recommend opportunities to enhance productivity, effectiveness, #J-18808-Ljbffr