Senior Manager, Data Analytics & Governance [Scotiabank]

Requisition ID: 179743

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose Of Job

Working within Global Risk Management (GRM), the Senior Manager, Data Analytics & Governance focuses on data driven analyses resulting in useful insights that improve the Bank's Operational Risk performance. Additionally, the role contributes to the implementation of enterprise data policies and standards by managing key data processes for the Global Operational Risk (GOR) team.

Job Responsibilities

• Work closely with leadership teams to create data strategies that assist data modeling
• Introduce changes under a test/control framework to help drive purpose, evidence-based decisions
• Manages communication with business partners and effectively communicates with the technology groups as well as data users in GOR and throughout GRM
• Conducts or assists detailed analysis and investigations of data feed and defect issues impacting monthly processes and/or data quality
• Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Data governance and stewardship assist, including data quality, data lineage, and data change management
• Lead the development, implementation, and monitoring of GOR data strategies to minimize Operational Risk events and assist business line decision making.
• Deliver key analytics projects in partnership with enterprise data & analytics teams, GOR teams and business partners
• Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
• Prepares management and technical presentations, interfaces with senior management and business users to document business requirements, data and information needs, and data exchange flow and provides assist/requirements for user acceptance testing
• Conducts or assists data trending and reasonability checks
• Champions a high-performance environment and contributes to an inclusive work environment.
• Recommend improvements to existing processes to assist data analytics, including data collection in Source systems
• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
• Lead ad-hoc analysis that provide useful intelligence to improve Operational Risk understanding and identify opportunities to improve risk/reward tradeoff. Assess current/emerging trends that may impact GOR, communicate root causes and undesirable trends affecting risk tolerance through segmentation analytics and early warning triggers.
• Act as liaison between Data Office/Data Risk and GOR to communicate requirements ensuring compliance with data standards/ requirements
• Manages projects to deliver data changes, process updates, and audit/RDARR/OSFI deliverables

Job Requirements

• Experience with Operational Risk platforms and methodologies, and their application in judicious decision making, is strongly desired
• Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
• Growth mindset with noetic curiosity, proactiveness and passion for continuous learning
• Bachelor's degree or higher, preferably in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
• Minimum of 5 years of data centred experience, preferably in a bank / financial institution
• Ability to present complex information in a simplified way to various audiences
• Strong communication and presentation skills complemented with solid problem-solving skills
• Experience in use of PowerBI, Tableau, or other data visualization tools
• Fluency in Spanish is an asset
• Experience in statistical & quantitative analysis
• Experience in programming (SAS/Python/R) and databases (SQL, DB2) knowledge; ability to process and assess large volumes of data

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.