Senior Manager, Strategic Insights, Retail Credit Risk
Toronto, ON, CA, M5H1B6
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Scotiabank
Requisition ID: 230493
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Senior Manager, Business Intelligence, Retail Credit Risk, GRM will lead a team responsible for monitoring and report on retail lending portfolios. Much of this team’s responsibilities will include creating dashboards and ad-hoc data pulls. As well, you will provide actionable insight to the Risk Management teams [Acquisition and Account Management] and business line partners. The role is highly technical and requires expert SAS/Python, data analytics and BI tools skills. The incumbent will lead and coach a team of managers to deliver ongoing portfolio reporting and monitoring to senior management, as well as address ad-hoc data requests.
Is this role right for you? In this role, you will:
Accountability 1: Retail Credit Risk Portfolios Tracking & Data Management
- Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize workstream.
- Respond to adhoc requests from executives and key stakeholders with a sense of urgency. Perform required data pulls, reconciliations to answer questions. Prioritization and working on more than one request at a time is often required.
- Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing vast amounts of data into coherent messages.
- Proactively provide strategic analysis that will assist in optimizing risk rewards ratios and grow the portfolios.
- Collaborate with Acquisition, Account Management and Collections teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics and quality, line optimization and collections effectiveness
Accountability 2: Customer Focus
- Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Using our data, continually develop and refine a more holistic customer view.
Accountability 3: Innovation
- Explore opportunities for using latest innovative analytics and Business Intelligence tools to showcase portfolio dynamics, derive insights and streamline processes
- Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability
Accountability 4: Risk Appetite Framework alignment
- Annual limits definition and monitoring: Strong experience in data modelling, data modeling concepts and techniques creating and maintaining data models, defining database structures while ensuring data integrity and quality. Leverage consumer data, performance and behavioral trends to perform correlation analyses and build statistical models for annual limit setting. Develop performance forecasts across portfolios to inform expectations for future delinquencies, credit losses and profitability.
- Ensure all business line strategic priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned.
- Actively pursue 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.
Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:
- Bachelor's Degree in Math, Engineering, Computer Science, Marketing, Economics or Statistics
- 5+ years analytical experience required
- Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
- Strong communication skills essential with clients and management
- Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
- Preferred Qualifications:
-
- 5+ years’ experience in Retail Products
- 5+ years’ experience in Database Marketing and/or Risk Analytics
What’s in it for you?
- An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
- We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
- Your career matters! You will have access to career development and progression opportunities.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Business Intelligence Computer Science Credit risk Data Analytics Data management Economics Engineering Mathematics Power BI Python SAS SQL Statistics Tableau
Perks/benefits: Career development Health care Salary bonus Team events
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