Data Scientist, Cyber-Fraud

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The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

As a Data Scientist, Cyber-Fraud, you will:

• All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
  • Analyze threat information from multiple sources, complete research and analysis using complex 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
• Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
  • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
  • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
  • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
• Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
  • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
  • Conduct cyber investigations and digital forensics as required
• Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
• Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
• Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
• Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
• Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions

• Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
• Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
• 5+ years of relevant experience in an Analytics role with a Financial Institution
• Information security certification/accreditation or analytics certifications an asset
• High level of proficiency in MS Excel, Tableau, PowerPoint

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.