Manager, Fraud Data Design & Integration

ODAIA; Toronto; On-site; CAD 75,000 - 95,000; Full time

Job summary

A leading financial institution in Toronto is seeking a skilled data analyst to enhance fraud detection capabilities. The role involves collaboration with multiple teams and demands strong analytical and communication skills. Candidates should have a minimum of 2 years of experience with data, particularly SQL or related databases, making an impact in a fast-paced environment with opportunities for professional growth.

Benefits

Dynamic and collaborative work environment

Opportunities for growth

Ability to make a lasting impact

Qualifications

• 2+ years’ experience working with data.
• Strong critical thinking and analytical skills.
• Proven communication and negotiation skills.
• Ability to operate autonomously in a fast-paced environment.

Responsibilities

• Work closely with DSA’s stakeholders to meet data requirements.
• Collaborate with various teams for project solutions.
• Manage project risks and communicate information to leadership.
• Support projects during post-launch warranty period.

Skills

Collaboration skills

SQL

Data analysis

Communication

Time management

Problem-solving

Tools

DB2

Teradata

Kafka

ElasticSearch

Job description

Overview

What’s the Opportunity

With RBC’s strategy and ambition moving towards artificial intelligence capabilities, the Data Design & Integration team ensures that we’re on top of new changes in the fraud data pipeline. Our work enables Credit & Fraud Management's Decision Sciences and Analytics (DSA) teams to integrate new data feeds for analytics use cases and enhance RBC’s fraud detection capabilities. You will contribute to the solution design, planning, and delivery of fraud data requirements in systems-integration projects. In collaboration with teams across Fraud and RBC, you will represent the collective interests of FDSA and build on Fraud’s data strategy towards AI enablement.

Responsibilities

• 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

Must-have

• Working experience in project team, with proven collaboration skills to interact with end-users, business analysts, and developers to capture data requirements
• 2+ years’ experience working with data (SQL, DB2, or Teradata)
• 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

Nice-to-have

• 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

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• 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

Job Skills

Business Oriented, Change Management, Communication, Data Analysis, Group Problem Solving, Project Administration, Time Management, Waterfall Model

Additional Job Details

Address : YORK MILLS CENTRE, 36 YORK MILLS RD, TORONTO

City : TORONTO

Country : Canada

Work hours / week : 37.5

Employment Type : Full time

Platform : PERSONAL & COMMERCIAL BANKING

Job Type : Regular

Pay Type : Salaried

Posted Date : 2025-07-25

Application Deadline : 2025-08-08

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth. RBC strives to deliver a workplace based on respect, belonging and opportunity for all.

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