Manager, Credit Risk, Retail Credit Risk

Scotiabank Global Site; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading bank in the Americas is seeking a Manager Credit Risk in Toronto to develop and implement credit risk strategies, leveraging analytics and programming skills. The successful candidate will collaborate with Global Risk teams and contribute to innovative credit solutions. Competitive rewards package includes bonuses and health benefits from day one.

Benefits

Performance bonus

Employee Share Ownership Program

Health Benefits from day one

Career development opportunities

Qualifications

• Minimum 3 years of proven experience in statistical analysis or modeling roles.
• Ability to work with large volumes of structured and unstructured data.
• Familiarity with programming languages and big data tools.

Responsibilities

• Develop and evaluate credit lifecycle strategies.
• Lead strategy design thinking with business partners.
• Leverage analytics and AI tools for credit solutions.
• Provide strategic recommendations to management.
• Collaborate to ensure consistent strategies.

Skills

SAS

SQL

Python

Data visualization

Communication skills

Statistical analysis

Education

University degree in a relevant STEM discipline

Tools

Power BI

Jira

Confluence

Job description

Overview

Requisition ID : 234501

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

As a Manager Credit Risk Retail Credit Risk you will play a pivotal role in accelerating benefits for credit strategies customers and the bank. Leveraging enterprise-level data management tools and advanced analytics you’ll collaborate closely with Global Risk teams business lines Digital Banking and IT. Your responsibilities include designing developing and implementing credit risk strategies exploring ideas to enhance retail lending portfolios within risk appetite thresholds and identifying opportunities for innovative credit offers based on risk-reward frameworks and the GRMs digital strategy. This role demands solid programming skills (SAS SQL Python) rigorous logical thinking communication curiosity and strong teamwork abilities. You will operate at the intersection of math / stats computer science and domain knowledge in Risk Management Finance or Marketing. Additionally you will work towards various strategic initiatives participate in the risk-reward strategy development driving innovation and digital transformation across the Bank and Global Risk Management.

Responsibilities

• Develop monitor and evaluate credit lifecycle strategies (e.g. credit origination account management) and portfolio performance partnering with business partners to deliver actionable insights and tactical recommendations that enhance program effectiveness and portfolio profitability.
• Lead strategy design thinking with business partners, subject matter experts and external consultants. Enhance risk-reward predictions, customer segmentation, credit limits, risk-based pricing and fraud detection across the full credit lifecycle (e.g. credit origination, account management, collections).
• Leverage advanced analytics and AI / ML tools to analyze large volumes of structured and unstructured non-traditional data developing innovative credit solutions and policies to support growth and strategic optimization in the Caribbean market.
• Provide strategic recommendations to senior management on portfolio insights, strategy enhancements and ad-hoc analyses. Monitor key performance indicators for scalable deployment in an agile and rapid environment.
• Collaborate with Toronto and local business partners to ensure business strategies implemented across life cycle are consistent with the Risk Appetite Framework.

Qualifications

• University degree in a relevant STEM discipline (Science Technology Engineering and Mathematics).
• Proficiency in big data tools and programming languages (e.g. SAS SQL R Python).
• Experience with data visualization tools with a preference for Power BI.
• Ability to work with large volumes of structured and unstructured non-traditional data.
• Familiarity with collaboration tools (e.g. Jira Confluence) to connect stakeholders
• Strong communication skills to translate technical knowledge into business value.
• Minimum 3 years of proven working experience in statistical analysis and / or statistical modeling roles (preferred in retail financial and digital industries).

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.

Required Experience :

Manager

Key Skills

Arm,Risk Management,Financial Services,Cybersecurity,COSO,PCI,Root cause Analysis,COBIT,NIST Standards,SOX,Information Security,RMF

Employment Type : Full Time

Experience : years

Vacancy : 1