Manager, Fraud Data Design & Integration

Opportunity

Core Responsibilities

• Work with detection, data science, and quantitative analytics monitoring stakeholders to ensure project data requirements meet analytics, machine learning, modeling, and reporting needs.
• Collaborate with Fraud Strategy, Operations, IT, and bank teams on solutioning and translate priorities into project requirements.
• Participate in data design and planning for systems-integration projects.
• Create and execute test plans for Fraud DSA use cases and contribute to project launch playbooks.
• Manage data-related project risks, issues, questions, and critical decisions and communicate detailed information to leadership and fraud stakeholders.
• Support post-launch warranty activities, transition solutions to end users, and monitor production issues.
• Understand banking data across multiple lines of business and how it supports fraud detection.

Must-Have Qualifications

• At least 2 years of experience using data to analyze, identify, and resolve issues with SQL, DB2, or Teradata.
• Experience in project leadership or systems integration and capturing data requirements with end users, business analysts, and developers.
• Strong critical-thinking and analytical skills for data and gap analysis and complex problem-solving.
• Proven communication and negotiation skills for technical and non-technical audiences.
• Familiarity with relational databases, data feeds, data structures, APIs, and data models.
• Excellent time management, prioritization, and autonomous working ability in a fast-paced and ambiguous environment.

Nice-to-Have Qualifications

• Experience working in systems-integration projects and designing use cases, test cases, and data-flow diagrams.
• Knowledge of HDFS, cloud infrastructure, Kafka, Elasticsearch, big data analytics, or modeling.
• Understanding of the Software Development Life Cycle, Agile project management, or fraud detection and prevention.

Listed Job Skills

• Agile methodology.
• Change management.
• Communication.
• Data analysis and data analytics.
• Group problem solving.
• Project administration.
• Time management.

Job Details

• The listed address is York Mills Centre, 36 York Mills Road, Toronto.
• The role is listed as full time with 37.5 work hours per week.