Requisition ID: 204362

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.

The Senior Data Scientist will work on key projects 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. The candidate will help identify and recommend opportunities to deliver innovative credit offers based on risk-reward framework and the GRM’s digital strategy.

What's In It For You?

• Opportunity to make an impact in the digital transformation of Scotiabank

• Exposure to different business lines and Caribbean markets where analytics techniques are being applied

• Hands-on practical projects to drive innovations throughout retail credit lifecycle

• A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

Job Responsibilities:

• Research, develop, and automate innovative credit solutions using big data, statistical analysis, and AI/machine learning techniques to assist growth and strategy optimization opportunities within the Caribbean and Central American markets

• Revamp existing data infrastructure and participate in data infrastructure migration to GCP

• Lead and drive strategy design with business partners, subject matter experts to further enhance risk-reward predictions, customer segmentation, credit limits assignment, and risk-based pricing through full credit lifecycle for retail and small business (e.g. credit origination, account management, collections strategies and/or other credit solutions)

• Leverage Agile framework to lead, prioritize and deploy data science projects. Co-ordinate with cross-functional teams to align with project scope and meet project timelines.

• 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 assist rapid lab projects 

• Participate proactively in developing and maintaining team standards, tools and best practices

Job Requirements:

• Minimum 3 years of established working experience with large volumes of structured and unstructured data and proficient working experience with SQL database, SAS, and Google Cloud Platform

• Minimum 3 years of statistical analysis and/or statistical modeling roles (preferred in retail risk, financial, and digital industries) with good knowledge in Machine Learning techniques, such as Decision Tree, Random Forest, XGBoost, etc.

• Excellent programming in statistical modeling languages, such as SAS, Python and/or R

• Efficient communication with an ability to convey complex technical concepts to non-technical audience

• Results driven mindset with established record of abilities to translate data and analysis to useful insights

• Relevant experience in risk management or related business line experience preferred

• Knowledge of data visualization tools such as Tableau, Power BI is a bonus

• Excellent social with ability to conclude and navigate team dynamics

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.