Requisition ID: 212225
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
In the role of Data Analyst, you explore and leverage data and data sources to deliver and advance cyber-fraud analysis. You are able to discover new information, clean and manipulate data, and develop structured datasets and visualizations to convert raw data into information that can drive action. You directly support critical incidents by performing tactical analysis to contain account-level attacks. With a background in cyber-fraud or related fraud and security experience, you coordinate and solution rapid data insights which enable incident handlers and other involved responders to design countermeasures to minimize impacts. In addition, you provide key support to prevention and early-detection strategies with other highly skilled cross-domain data and cyber-fraud professionals.
Accountabilities
- Transforming data and information into insights that inform tactical response to incidents as well as strategic decision-making.
- Use specialized tools to analyse a large variety of data to extract information and present in a useable and highly consumable form.
- Identify patterns and trends within data and integrate other information sources in order to create robust insights and deep analysis.
- Coordinate, manage, and respond to data-related query requests.
- Coordinate and develop requirements for data sourcing, collection, and management to support cyber-fraud analytics environment.
- Detect and investigate anomalies in data, uncovering potential opportunities or issues.
- Support more advanced data science functions and tasks by helping shape a problem with relevant business and functional background, including collaboration with other teams to provide context to analysis.
- Support process design to enable efficiency in data analysis activities and functions. This includes identifying opportunities for optimizing processes.
- Support developing and maintaining data models and structures to advance capabilities, creating and testing alternative methodologies and analysis techniques.
- Support the definition and track key performance indicators (KPIs) related to incident management. Regularly report on team performance and effectiveness.
- Support the delivery of a roadmap that creates new capabilities and capacity for early detection and response to cyber-fraud incidents. The capabilities created through this roadmap empower our incident response team enabling the best visibility, situational awareness, and use-case automation.
- Support defining the data and technology the Response Analytics and Insights team needs to be successful in prevention and early detection of account-level attacks as well as advancing capabilities and performance.
- Support future direction on data strategy including: sources, data design, data integrity and data and analytics tools.
- Be a champion for a data driven culture for Incident Management.
- Informally mentor other team members in Response Analytics and broader Fraud Threat Management group.
- Support the identification and escalation of systemic issues, reoccurring problems, and unrelated threats/vulnerabilities to the appropriate business, risk, or control owners through the team’s Problem Management function.
- Regularly recognize and reinforce high-quality work and behaviours of your peers and others within the Bank that contribute to the success of our mission.
- Understand and apply the Bank’s risk appetite and risk culture to day-to-day activities and decisions.
- Contribute to the overall success of the Global Fraud Management function, ensuring specific individual goals, plans and initiatives are delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulation and internal policies, procedures, and standards.
Education / Experience / Other Information
- 3+ years of data analysis or business intelligence experience delivering high-quality analytics solutions.
- Bachelor’s degree in Analytics, Data Management, Computer Science, Statistics, Data Science, or related Data, Quantitative and/or Engineering field.
- Expertise in exploratory, descriptive, and diagnostic analysis with proven delivery of actionable insights.
- Strong knowledge of data analysis, statistics, and data management.
- Expert skills with analytics, business intelligence, and other visualization tools.
- Competency with statistical programming and query languages.
- Familiarity of incident management, threat-intelligence, customer identity and access management (CIAM), and payment card security (PCI DSS) business functions is a definite asset.
- Related cybersecurity industry certifications (ex. CISSP, CISM, CISA, GCIH, etc.) are an asset.
- Bilingual in Spanish is an asset.
Working Conditions
- Work in a standard office-based environment; non-standard hours are a common occurrence including on-call incident management support.
- Limited travel required.
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
