Senior Manager, Risk Governance

RBC•Toronto, ON

3d•Onsite

About The Position

You will lead the development and execution of the strategic roadmap for risk governance within the Credit and Fraud Management Data Science and AI(DSA) team, including development and maintenance of Processing Risk Activity Assessments(PARA), Privacy Risk Assessment(PRA), Data Risk Assessment(DRA), Risk Triage Assessment(RTA), Supplier Risk Management Assessment(SRMA) and new risk activities that evolve. You will identify and document risks and mitigating controls and be the primary liaison between Fraud DSA and the larger Privacy and Risk communities within RBC. You will represent Fraud DSA at Risk and Privacy Forums and present risk use cases to a wide audience. You will maintain awareness of privacy and risk initiatives enterprise-wide, share information on changes in risk policies and procedures, establish and maintain connections throughout the RBC Risk and Privacy community, understand team structures and best practices. You will lead Risk and Privacy engagements and liaise with partners throughout Credit and Fraud Management(CFM), PB&CB Data Management Office(DMO), Operational Risk, Group Risk Management, Third Party Risk Management and Data and Privacy Risk Management, and collaborate with stakeholders at varying levels of seniority.

Requirements

5+ years' experience in data analytics, reporting, MIS or similar roles, working with large, real-world datasets
Strong leadership capabilities, demonstrated ability to impact and influence without direct managerial authority, comfortable in high a visibility role with interactions across all levels of the organization
Critical thinking and analytical skills with the ability to solve complex problems
Proven ability to think big picture strategy and roll-up-your sleeves to deliver
Experience working in Agile environments
Experience with Change Management principles
Knowledge of and practical experience working with risk frameworks
Exceptional time management and organizational skills; able to manage multiple projects simultaneously
Strong problem solving, research and quantitative skills
Exceptional communication skills
Strong knowledge of Fraud products and Fraud-related applications
Understand technical concepts

Nice To Haves

Familiarity with User Experience

Responsibilities

Develop and execute Fraud Management’s Risk Governance Strategy, understand the needs of the Fraud Data Science and AI or DSA team and plan and prioritize a roadmap for future risk activities
Lead the development of PARA, PRA, DRA for DSA, take ownership over critical third-party engagements including SRMAs and lead DSA through emerging risk forums such as SafeAI
Lead the design and framework execution of Risk Management policies and procedures, maintain knowledge of policies and procedures related to Risk Management, including RTA, PRA, PARA, DRA
Demonstrate proficiency in writing and translating technical requirements into appropriate risk language and develop and maintain relationships with partners in Risk Operations
Identify where risk exists within critical DSA processes, and develop risk management playbooks
Interface with a variety of organization roles in the line of business they represent, negotiate needs and find compromises between internal objectives, user/customer needs and financial objectives
Manage or reset stakeholder expectations when required, negotiate priorities between competing stakeholder interests and collaborate to ensure the highest value deliverables are completed
Influence or negotiate key product decision points and milestones, ensuring expectations and outcomes are jointly agreed upon and updated
Foster a culture of collaboration and engagement by partnering with users, leaders, and technology partners, and engage with stakeholders on forthcoming deliverables, so their feedback is incorporated as part of planning