
Manager, Fraud Data Design & Integration
- Toronto, ON
- Permanent
- Temps-plein
- Work closely with DSA’s Detection, Data Science, and Quantitative & Analytics Monitoring stakeholders to ensure analytics, machine learning, modeling, and reporting needs are met by projects’ data requirements
- Collaborate with the Fraud Strategy, Operations, IT, and teams across the bank in brainstorming and solutioning exercises, provide business recommendation and judgement, and translate priorities into project requirements
- Participate in the data design and planning in systems integration projects, create and execute test plans for Fraud DSA use cases, and contribute to project launch playbooks
- Manage project risks, issues, questions, and critical decisions related to data requirements, ensuring proper steps are taken to mitigate, escalate, and communicate detailed information to senior leadership and fraud stakeholders
- Support the project during post-launch warranty period by establishing a seamless transition to end-users and monitoring production issues
- Understand banking data from multiple lines of businesses and how it can be utilized in the Fraud Detection ecosystem to combat fraudulent behaviours
- 2+ years’ experience in using data to analyze, identify and resolve issues, using (SQL, DB2, or Teradata)
- Experience in project leadership or system integration, and proven ability to collaborate with end-users, business analysts and developers, to capture data requirements
- Strong critical thinking and analytical skills to perform data and gap analysis and to solve complex problems
- Proven communication and negotiation skills, including the ability to effectively make recommendations to technical and non-technical audiences
- Familiarity with technology infrastructure concepts eg. relational databases, data feeds, data structures, APIs, data models, etc.
- Excellent time management skills and demonstrated ability to prioritize workload
- Ability to operate autonomously in a fast-paced and ambiguous environment
- Experience working in systems-integration projects
- Experience designing use cases, test cases, and data flow diagrams
- Knowledge of HDFS, cloud infrastructure, Kafka, ElasticSearch, big data analytics and modeling
- Understanding of the Software Development Life Cycle and Agile Project Management
- Understanding of fraud detection and prevention
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to take on progressively greater accountabilities