Job Description

Requisition ID: 237549



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



GRM Retail Credit Risk aims to be an industry leader in developing innovative solutions for Retail Banking. This is accomplished using advanced analytics, agile principles and disciplined risk governance. To align with its departmental mission to modernize Credit Risk, the advance analytics team acts as an idea incubator and analytical use cases accelerator, leveraging non-traditional data, advance analytic algorithms and enterprise platforms. The team relies on retail credit risk expertise and key business partners to provide consulting services within GRM and help building the next generation of retail credit solutions at Scotiabank.

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

The Data Scientist will work on key projects and analysis aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management tools and advanced analytics. She/he will work closely with Global Risk teams, the business lines, Digital Banking and IT to apply advanced analytics techniques and tools, as well as explore ideas to enhance retail and small business lending portfolios within risk appetite thresholds. Your key responsibilities include:

Monitor and evaluate existing credit risk strategies (e.g. credit origination, account management, collections strategies and/or other credit solutions) to identify opportunities and provide data driven recommendations to ensure the Bank remains within risk appetite Implement data driven credit strategy design with business partners, utilizing subject matter expertise to develop customer segmentation, credit origination and lifecycle strategies for retail and small business Research, develop, and implement innovative credit solutions using big data, statistical analysis, and AI/machine learning techniques to support growth and strategy optimization opportunities Collaborate with Toronto and local business partners to implement new credit solutions in selected markets. Track and monitor key performance indicators to accelerate scalable deployment across key markets in an agile and rapid environment Work with data engineers and key stakeholders to define requirements for data ingestion, visualization technique and machine learning models to support rapid lab projects Participate proactively in developing and maintaining team standards, tools and best practices

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

University or post-graduate degree in n Economics, Finance, Business, Mathematics, or Computer Science Minimum 1 year of proven working experience in statistical analysis and/or statistical modeling roles (preferred in retail, financial, and digital industries) Expert knowledge in Machine Learning techniques, such as Decision Tree, Random Forest, XGBoost, etc. Strong knowledge of retail or small business portfolio performance and credit risk measurement concepts and methodologies Ability to work with large volumes of structured and unstructured data and proficient working experience with SQL database and Hadoop ecosystem Excellent programming skills in statistical modeling languages, such as SAS and Python Efficient communication skills with an ability to convey complex technical concepts to non-technical audience Results driven mindset with proven record of abilities to translate data and analysis to actionable insights Relevant experience in risk management or related business line experience preferred Knowledge of data visualization tools such as PowerBI is a bonus Excellent interpersonal skills with ability to understand and navigate team dynamics

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. 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.