Data Scientist I

2 months ago

Toronto, Canada TD Bank Full time

**Data Scientist I**:

- 416264BR

**Job Category - Primary**
- Enterprise Data & Analytics

**Work Location**
- TD Centre - South - 79 Wellington Street West

**Employment Type**
- Regular

**City**
- Toronto

**Time Type**
- Full Time

**Province/State**
- Ontario

**Hours**
- 37.5

**Workplace Model**
- Hybrid

**Pay Details**

**Department Overview**

What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

As part of our Data and Analytics team, you'll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

TD's vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you've been in business as long as we have, you know there's no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

**Job Details**

**About this Role**

You are eager to provide your burgeoning technical expertise as part of a team that takes on consistently complex projects across a wide range of business units. You are familiar with data functions including data modelling, visualization, data profiling, data origin and lineage, report design and more. You will employ these disciplines to help create data related solutions to drive business results. You thrive on positive feedback and use your specialized knowledge to implement feedback systems that evaluate your team's progress and create innovative new ways improve your overall performance.

We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

**As a Data Scientist I, you will be supporting Financial Reporting Control(FRC) Data & Analytics function to deliver**:

- 1.CCOA and Attestation Dashboard Maintenance and DevelopmentQuality checks, data integration and refresh of various reports used for policy governance.Undertake additional analysis related to exceptions and trends - produce governance and exception reporting e.g., significant period over period changes, analyze QoQ changes in attestations, etc.- Create reports for FRC's oversight and monitoring mandate including business rules & data lineage for various reports, reports for submission to Internal Audit for remediation testing, progress updates for Project Lotus, etc.Add and operationalize incremental metrics related to new policy requirements, monitoring and oversight.- 2.Operationalization of Chart of Accounts Policy (CCOA Policy)- Ongoing development and enhancements to key metrics and KPIs to monitor policy complianceAssist to remediate gaps identified in chart of accounts governance and end-to-end oversight control- Support implementation of controls and monitoring for CCoA Policy implementation e.g.,- Tracking of newly opened GL accounts & dimensions, oversight of dynamically open accounts by business segment & source
- Tracking of closed, deleted & purged account in various GL systems
- Development & operationalization of new oversight metrics
- 3.Ongoing daily support (examples below)Support FRC in its ongoing oversight mandate for various control & oversight activities as required - example include completeness checks at quarter ends, exceptions reporting, variance root cause analysis etc.-
Tracking registrations, attendance and pending to date. Manage module in dashboard on trainings assignments and completenessOthers ad hoc support examples include- Work with different teams on identifying Transit/Suspense/Cash account
- Support ARCs discussions & requirements and reviewing new logic for ARCS data feed
- Support FRC on Business segment breakdown
- 4.Support Future Ongoing EnhancementsRe-configure to ARCs : Data engineering and platform update to switch attestation & reconciliation data from current tools (ACATT, Trintech) to ARCsMove to Cloud : Migration to Akora on Cloud from Akora on PremAutomation:
- Efforts to automate parts of data sourcing & ingestion (as feasible)
- Enhancing data source to minimize sideloading process (onboard data to Akora)

**Job Requirements**

**What can you bring to TD? **Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

- Advanced Big Data ProcessingAdvanced coding in data processing tools like Python, PySpark, Databrick.Perform activities like data modeling, integrating files, record roll-up & attribution, deriving analytical attributes etc.Link big data platform to BI tools using data connectors- Advanced TableauDeveloping new views - ability to design & develop complex views & metricsUpdating existing views - update parameters, refresh data to update existing modules, perform QC, optimize load time- Business

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