Manager, Unsecured Retail Lending Analytics

Toronto, ON, CA, M5H1B6

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Requisition ID: 226442

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

 

The Manager, Non-Pre-Approval Originations will utilize combination of their existing credit risk knowledge as well as analytical skills to develop and monitor credit risk origination lending strategies, policies, and processes to optimize risk/return for credit cards, unsecured lines of credit, unsecured installment loans and over drafts for the Canadian retail portfolio.

The manager will use in-depth portfolio analytics to monitor its delinquency/loss performance, derive insights, optimize approval/decline decision criteria, automate decisions, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data in bank’s data lake, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Regulators.

This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

 

 

Is this role right for you? In this role, you will:

Origination Strategies

  • Develop credit risk origination strategies and policies for the Canadian unsecured lending, with goal of using empirical decision models to approve credit, set customer credit exposure, and determine risk adjusted pricing.
  • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
  • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.
  • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.

 Portfolio Monitoring

  • Improve and maintain monthly/weekly performance monitoring on new accounts acquired through different channels and special programs. Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards).
  • Analyze strategy effectiveness and proactively identify if any segments are or will impact provisioning estimates as vintages mature. 
  • Prepare daily, weekly and monthly portfolio monitoring reports and provide actionable insights to manage risks within the risk appetite.

Support Business Line Initiatives/Projects

  • Ensure all business line strategic priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework. 
  • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
  • Bring innovative solutions to Projects/programs that are consistent with the Bank’s customer/business objectives and risk guardrails

 

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

  • Required: Bachelor’s degree or higher or equivalent work experience;
  • Desired: Bachelor’s and/or Masters degree or higher in business, statistics, economics, finance, computer science, data science or science.
  • A minimum of 2-5 years with an organization in the risk/portfolio management field, with rigorous logical thinking and solid understanding of credit principles
  • Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python)
  • Able to translate data into digestible dashboards and business insights (Tableau, PowerBI, PowerApp)
  • Excellent communication and written skills complemented with solid deductive reasoning, sound judgement, and creativity.
  • Strong knowledge designing strategies that impact organization’s P&L.
  • Prior experience in a retail lending environment or credit risk management is preferred.
  • Ability to work effectively within a team, able to multi-task and prioritize.

 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Banking Computer Science Credit risk Economics Finance Machine Learning Power BI Python R SAS SQL Statistics Tableau Testing

Perks/benefits: Career development Health care Salary bonus

Region: North America
Country: Canada

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