Senior Manager, Data Development

Toronto

Equitable Bank

At Equitable Bank, we specialize in providing branchless financial services that meet the unique needs of all Canadians. Our range of mortgages, savings accounts and investment options are designed to offer the right solutions to match any...

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Join a Challenger
Being a traditional bank just isn’t our thing. We are big believers in innovating the banking experience because we believe Canadians deserve better options, and we challenge ourselves and our teams to creatively transform what’s possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If you’re not afraid of taking on big challenges and redefining the future, you belong with us. You’ll get to work with people who will encourage you to reach new heights. We like to keep things fun, ask questions and learn together. We are a big (and growing!) family. Overall we serve more than 370,000 people across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than 5 million members. Together we have over $100 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our EQ Bank platform (eqbank.ca) has been named the top Schedule I Bank in Canada on the Forbes World's Best Banks 2023, 2022, and 2021 lists. 

The Work
Reporting to the Associate Director, Risk Data, Enterprise Risk Management, the incumbent will be responsible for overseeing the requirements, documentation, and data management of risk solutions with respect to ICAAP, AIRB, IFRS9, and other Risk reports. The role is pivotal to the success of the Enterprise Risk Department, acting as a centralized group with delivery support capabilities in both Data Management and business acumen. 

The Core Parts of the Role would be:

  • Data Development (60%)
  • Data Pipeline Development: Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes to collect, transform, and load data from various sources into data storage systems or data warehouses efficiently and reliably.
  • Data Integration and Aggregation: Coordinate the integration and aggregation of risk data from various systems and sources. Ensure that data is collected, transformed, and consolidated accurately to provide a comprehensive view of risk across the organization. This may involve data mapping, data transformation, and data cleansing activities.
  • Data Modeling: Design and implement data models that facilitate efficient storage, retrieval, and analysis of data. This includes selecting appropriate data structures, defining schema, and optimizing data storage for performance.
  • Data Warehousing: Build and maintain data warehouses or data lakes that serve as centralized repositories for structured and unstructured data. Implement storage and retrieval strategies that enable fast and efficient data processing.
  • Data Transformation and Manipulation: Perform data transformation and manipulation tasks using programming languages and tools like SQL, Python, or R. Apply data processing techniques, such as aggregation, filtering, and joining, to extract meaningful insights from raw data.

  • Data Management (25%):
  • Data Governance: Establish and enforce data governance policies and procedures to ensure the accuracy, completeness, and integrity of risk data. Define data ownership, accountability, and data quality standards within the organization.
  • Data Architecture: Design and implement a robust data architecture that supports effective risk data aggregation and reporting. This involves defining data models, data flows, data sources, data transformation rules, and data integration processes.
  • Data Quality Management: Develop and implement data quality management frameworks to ensure the accuracy, consistency, and timeliness of risk data. Monitor data quality metrics, perform data profiling, identify data quality issues, and collaborate with stakeholders to resolve them.
  • Data Lineage and Traceability: Establish data lineage and traceability mechanisms to track the origin, transformation, and usage of risk data. This helps in understanding the data's journey and supports data validation and auditability.
  • Regulatory Compliance: Stay updated with regulatory guidelines, including BCBS 239, and ensure that data management practices align with these requirements. Prepare for regulatory audits and examinations related to risk data management.

  • Team Management (15%)
  • Provide timely guidance and mentoring to members of the team.
  • Provide timely and effective feedback to staff.
  • Identify and make recommendations on staffing resource requirements needed to adequately execute on key strategic objectives of the team.
  • Identify appropriate training opportunities or external courses to improve staff effectiveness.

Let's Talk About You!

  • Minimum of 7+ years of experience in leading business analysis within a financial institution, ideally within an AIRB-compliant institution, and working with a risk management function.
  • Post-secondary degree in Computer Science, Business, Engineering, or related technical degree, or equivalent experience.
  • Experience with SQL Server database and SQL development, with experience on Microsoft Azure a plus. Knowledge of data engineering practices within the data science domain and evolving technologies related to data storage, transformation, processing, access, and reporting.
  • Experience with work tracking and collaboration software such as Jira, Confluence, or similar.
  • Self-starter who can take a concept and drive it through to the design and implementation.
  • Strong oral and written communication skills
  • High attention to detail, ability to review and recommend actions to solve business problems.
  • Strong organization, time management and multi-tasking skills; managing multiple deadlines at one time.
#INDR
What we offer [For full-time permanent roles] 💰 Competitive discretionary bonus ✨ Market leading RRSP match program🩺  Medical, dental, vision, life, and disability benefits📝  Employee Share Purchase Plan👶🏽 Maternity/Parental top-up while you care for your little one🏝 Generous vacation policy, personal days and even a moving day 🖥  Virtual events to connect with your fellow colleagues🎓  Annual professional development allowance and a comprehensive Career Development program💛  A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience
The incumbent will be working hybrid and in office time will be spent working from Equitable Bank’s additional office space located at 351 King Street East, Toronto, ON.  Equitable Bank is deeply committed to inclusion. Our organization is stronger and our employees thrive when we honour and celebrate everyone’s diverse experiences and perspectives. In tandem with that commitment, we support and encourage our staff to grow not just in their career path, but personally as well. 
We commit to providing a barrier-free recruitment process and work environment for all applicants. Please let us know of any accommodations needed so that you can bring your best self to the application process and beyond. All candidates considered for hire must successfully pass a criminal background check and credit check to qualify for hire. While we appreciate your interest in applying, an Equitable recruiter will only contact leading candidates whose skills and qualifications closely match the requirements of the position.  We can’t wait to get to know you!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Azure Banking Computer Science Confluence Data governance Data management Data pipelines Data quality Data Warehousing Engineering ETL Jira Pipelines Python R SQL Unstructured data

Perks/benefits: Career development Equity Health care Salary bonus Team events

Region: North America
Country: Canada
Job stats:  4  0  0
Category: Leadership Jobs

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