Requisition ID: 203474 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As a Manager, Risk Analytics, you will play a pivotal role in accelerating benefits for 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 applying advanced analytics techniques, 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 GRM's digital strategy.
This role demands rigorous logical thinking, curiosity, flexibility, and strong teamwork abilities.
You'll operate at the intersection of math/stats, computer science, and domain knowledge in Risk Management, Finance, or Marketing.
Additionally, you will work towards various judicious initiatives, participate in the risk-reward strategy development, driving innovation and digital transformation across the Bank and Global Risk Management.
Job Responsibilities: Research, develop, and implement innovative credit solutions using advanced and predictive data analytics, big data, and AI/machine learning techniques.
Focus on growth and strategy optimization opportunities in Caribbean and Central American markets.
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).
Utilize Agile framework to prioritize and deploy data science projects, aligning with project scope and timelines.
Collaborate with Toronto and local business partners to implement new credit solutions in selected markets.
Monitor key performance indicators for scalable deployment in an agile and rapid environment.
Partner with other analytics areas to assist use case development and deployment.
Define data engineering, visualization, and machine learning requirements in collaboration with the Business Intelligence team and key stakeholders.
Actively contribute to developing and maintaining team standards, tools, and best practices.
Job Requirements: University degree in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
Ability to work with large volumes of structured and unstructured non-traditional data.
Proficiency in big data tools and programming languages (e.g., SAS, SQL, Spark).
Experience with machine learning and other AI techniques for strategy design.
Familiarity with collaboration tools (e.g., Jira, Confluence) to tie stakeholders.
Strong collaboration skills to translate technical knowledge into business value.
Effective communication skills for project documentation and presentations.
Excellent social skills to 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.
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Manager, Risk Analytics (data Analytics) (12 Months Contract), Toronto
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Manager, Risk Analytics (data Analytics) (12 Months Contract), Toronto
Canada, Ontario, Toronto,
Modified July 26, 2024
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Scotiabank Group is one of North America’s premier financial institutions and Canada’s most international bank. Our more than 70,000 employees provide personal, commercial, corporate, and investment banking services to individuals, small and medium-size businesses, corporations, and governments in nearly 50 countries around the world and coast to coast in Canada.
Scotiabank is a Best Place to Work® in multiple geographies around the world. We strive to deliver a consistent and rewarding employment experience globally by developing policies and programs based on shared global principles. A global community of Scotiabankers is thriving. It is here, where distinct perspectives and unique talents ignite personal career growth.
Scotiabank focuses on creating and seizing opportunities to better serve our customers, reward our shareholders, engage our employees and help our communities to prosper. Our success is reflected in our philosophy, One Team, One Goal, and in the strength of our four major business lines: Domestic Banking, International Banking Wealth Management and Scotia Capital.
Find an exciting career opportunity with us by visiting www.jobs.scotiabank.com
Specialties
Banking,
Wealth Management,
Investment Banking