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Scotiabank

Manager (Data Analytics)

Location
Toronto, ON
Details
Full Time
6 days ago

 
 
 
Requisition ID: 100984

Join the Global Community of Scotiabankers to help customers become better off.
 
Purpose of Job:
Reporting into the Senior Manager, Enterprise Risk, Strategy and Execution, the manager will play an active role in implementation and automation of the Bank's enterprise risk management program.

Job Responsibilities:

  • Document the business requirements for regulatory returns, board reports, and select sections of the Bank's financial statements;
  • Enhance an integrated reporting data structure to provide information to support business decisions;
  • Summarize and describe changes in the Bank's credit risk globally for internal and external stakeholders;
  • Provide fast and reliable revision of reports as requested by the Board, Executive Management and Regulators;
  • Provide error-free reporting, test changes to various data sources, ensure timely delivery of reports;
  • Review business requirements and conduct reasonability reviews of reports and extracts produced elsewhere and identify dimensional differences;
  • Streamline data flow and generate stakeholder reports related to the Credit Risk Appetite.
  • Providing Subject Matter Expertise for new regulatory reporting expectations, including providing support in interpreting, formalizing, and communicating business requirements;
  • Validating and cross-checking data, and analyzing period-over-period changes for a variety of reports;
  • Communicating effectively with departments and teams across the bank.
  • Documenting Global Risk Management - Enterprise Risk existing and new reports;
  • Embracing the latest technology for seamless reporting and advanced analytics;
  • Ensuring timely delivery and verification of data from other departments;
  • Producing and/or assisting with producing Global Risk Management-Enterprise Risk major reports, monthly and quarterly and ensuring their timely delivery; Business testing of enhancements to existing data sources by performing comparative analysis;
  • Communicating effectively with departments and teams across the bank.
  • Proven problem resolution skills;

Job Requirements:

  • Must have SAS or Python and PowerBI.
  • Must have advanced knowledge of MS Office (especially Excel and Access) and a general understanding of relational databases and data mining.
  • Must have experience with SQL to run queries in different environments, and aggregate data from several sources in various formats
  • Knowledge of banking products, accounting and finance principles, exposure measurements, reporting to regulators and Senior Executives;
  • Strong computing, technical, and analytical skills. Good knowledge of the different source systems at use in the Bank, and how they capture, account for, and represent financial transactions, is essential;
  • Graduate university degree (mathematics, business administration, statistics or equivalent)
  • CFA or FRM designation an asset.
 
Location(s):  Canada : Ontario : Toronto 
As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. Our employees are committed to a superior customer experience and use the Bank's six guiding sales practice principles to ensure they act with honesty and integrity.

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.

Job Segment: Analytics, Database, Data Analyst, Bank, Banking, Management, Technology, Data, Finance

Category
Information Technology