Senior Manager, Advanced Analytics

Toronto, ON, Canada

Job Description


Requisition ID: 160539

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

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 Manager will work on key projects aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management toolkits. She/he will work closely with Global Risk teams, the Business lines, Digital Banking and IT to leverage data analytics 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. The role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities. The candidate will be at the intersection of data engineering, math and statistics, and domain knowledge in Risk Management, Finance or Marketing. She/he will take a leading role in risk-reward strategy development to drive innovation and digital transformation throughout the Bank and Global Risk Management.
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:

  • Lead and drive data driven credit strategy design with business partners; utilizing subject matter expertise to develop customer segmentation, credit limits assignment, pre-approval, and credit lifecycle strategies for retail and small business
  • 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
  • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts. Provide periodic recommendation for risk controls and strategy enhancement.
  • Work with key stakeholders to provide ad-hoc recommendation leveraging the Bank’s internal data infrastructure and external data (where possible). Define data requirements and apply statistical tools to provide analytical support for business proposals.
  • Participate in data science rapid lab along with data scientists and data engineers to implement innovative credit solutions using big data, statistical analysis, and AI/machine learning techniques to support growth and strategy optimization opportunities within the Caribbean and Central American markets

Job Requirements:

  • University or post-graduate degree in n Economics, Finance, Business, Mathematics, or Computer Science
  • Minimum 2 years of experience in credit risk strategy design and/or retail portfolio management field
  • Strong knowledge of retail or small business portfolio performance and credit risk measurement concepts and methodologies
  • Ability to work with large volumes of data and proficient working experience with SQL database, SAS Server, and Hadoop ecosystem
  • Proficiency in data visualization tools such as Tableau, PowerBI
  • Results driven mindset with proven record of abilities to translate data and analysis to actionable insights
  • Excellent written and presentation skills to present insights and explanation to various stakeholders within the organization
  • Project management and leadership skills to prioritize, manage and implement a variety of competing initiatives is preferred
  • Experience in statistical modeling and/or big data ETL processing is an asset

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.

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Job Detail

  • Job Id
    JD2026063
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned