Data and Fraud Risk Governance Specialist

Location: North York

Job Description

What's the opportunity?RBC’s detection systems process about 25 million transactions a day and are critical in preventing fraud losses. You will develop and manage Risk/Data Governance controls to support Credit and Fraud Management and contribute to Fraud strategy by ensuring Fraud Management solutions support clients, end users and processes. You will support a portfolio of Credit and Fraud solutions, balancing business objectives and needs of end users to ensure proper functionality in servicing both clients and our team effectively.

You will support the Fraud Management pillars, priorities and strategic goals by working with stakeholders to enable cost effectiveness and drive operational efficiencies through thoughtful planning and prioritization.
What will you do?

Maintain knowledge of policies and procedures of the Chief Data Office, specifically the Enterprise Information Management Policy, and execute on all required processes within these policies

Understand how fraud data interconnects through other enterprise domains and lead the development of Data Governance Framework, including data quality, accessibility, security and compliance

Apply critical thinking to how to improve this framework with innovative methods and technology, and maintain knowledge of Risk Management policies and procedures, including RTA, PRA, PARA and DRA

Maintain relationships with partners in Risk Operations and effectively write and translate technical requirements into appropriate risk language

Maintain knowledge of solutions used in Fraud and develop strategies and product roadmaps for enhancements, evolution, consolidation, increased usage, etc.

Lead strategic discussions with our partners to understand technologies, capabilities, current and future use cases, etc. and incorporate this information into our roadmap / timelines / strategy

Ensure alignment between Fraud and IT-planned improvements to technology solutions and Fraud business technology priorities, and leverage diverse user needs, the marketplace, competition and future trends for the domain or type of product / solution being developed

Encourage transparency and collaboration between Fraud IT and Fraud Management to reduce ‘thinking in silos’, identify product opportunities/challenges and recommend solutions

In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide

What do you need to succeed?
Must-have

3+ years’ experience in risk management, data governance or fraud management

3+ years of business experience, preferably within the financial industry and relevant line of business (i.e. Fraud Operations)

Experience working in a technical environment and familiarity with technology infrastructure concepts eg. relational databases, data feeds, data structures, APIs, data models, etc.

Proven ability to think big picture strategy and roll-up-your sleeves to deliver

Excellent time management skills and demonstrated ability to prioritize workload effectively

Ability to operate autonomously in a fast-paced and ambiguous environment

Organizational Awareness, and ability to understand and use the workings, structure, climate and culture of the organization to achieve results

Nice-to-have

Product Management

Knowledge of Agile Methodology

Leading Initiatives in a business operations environment

Knowledge of ​Fraud products and Fraud-related applications

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.

A comprehensive Total Rewards Program

Leaders who support your development

Ability to make a difference and lasting impact

Opportunity to take on progressively greater accountabilities

Job Skills
Big Data Management, Data Governance, Data Mining, Data Quality, Data Science, Decision Making, Python (Programming Language), Statistical Analysis
Additional Job Details

Address:

YORK MILLS CENTRE, 36 YORK MILLS RD:

TORONTO

City:

Toro…