data analyst Toronto
Job description
TD Description
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Department Overview
Job Description
- Analyze authentication data and work with stakeholders to identify business logic flaw, prevent unauthorized access and mitigate fraud events
- Wrangle data from multiple data sources using Python to complete research and analysis using data methodologies to derive key insights/results in a presentable format
- Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
- Create dashboards in Tableau to monitor fraud threats behaviors and raise alerts if thresholds are exceeded
- Automate data pipelines, monitoring process and alert generation for end-to-end processes that involve SQL, Excel, Tableau, Python
- Conduct meaningful qualitative and quantitative research and data analysis on vendor data and propose solutions to mitigate fraud issues and reduce friction on genuine customers
- Collaboratively work with Incident Management team, Fraud Strategy and Product Owners to identify control aspects that can be modified to resolve incidents
- Work on model validation aspect for proposed models created inhouse/by vendor as per TD Model Validation guideline
- Improve processes within area including but not limited to those related to reporting, planning, and forecasting; contribute to overall effectiveness of the organization
- Assist in conducting value-added business analysis, insights, and recommendations to support business unit/client endeavors, including ad-hoc reviews, reporting, and takeaways with attribution analysis and executive summaries within own area or as assigned
- Liaise with other areas of the business and overall enterprise to facilitate completion of projects
- Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
Job Requirements
- Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
- Must be proficient creating complex queries in SQL
- Skills and experience with data analysis/automation/ML using Python
- Experience in creating visually appealing dashboards using Tableau
- Familiarity with Alteryx, Splunk, Databricks and ML concepts will be an asset
- Ability to create presentations in MS PowerPoint to share analytical results with leaders
- 3+ years of relevant experience in an Analytics role with a Financial Institution
Additional Information
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Inclusiveness
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
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About TD
CEO: Bharat Masrani
Revenue: $10+ billion (USD)
Size: 10000+ Employees
Type: Company - Public
Website: www.td.com
Year Founded: 1855
