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Company: Scotiabank

Location: Toronto, ON

Job description: Requisition ID: 203474Join 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 : TorontoScotiabank 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 . 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.
The content is a job posting for the position of Manager, Risk Analytics at Scotiabank in Toronto, Canada. The role involves using advanced analytics techniques to enhance retail lending portfolios and develop credit solutions using big data and AI/machine learning. The Manager will collaborate with various teams, lead strategy design thinking, and work on initiatives to drive digital transformation. The job requires a university degree in a STEM discipline, proficiency in big data tools and programming languages, experience with machine learning, and strong communication and collaboration skills. Scotiabank is committed to creating an inclusive environment for all applicants.
Position: Customer Service Representative

Job Description:
We are looking for a Customer Service Representative to join our team. In this role, you will be responsible for providing excellent customer service to our clients. You will handle customer inquiries, complaints, and other interactions in a professional and timely manner.

Key Responsibilities:
– Answering customer inquiries via phone, email, and chat
– Resolving customer complaints and issues
– Providing product information and support to customers
– Processing orders and returns
– Maintaining customer records and updating information in the system
– Collaborating with other team members to ensure customer satisfaction

Requirements:
– High school diploma or equivalent
– Previous customer service experience is preferred
– Excellent communication and problem-solving skills
– Ability to work well in a fast-paced environment
– Strong attention to detail

If you are a customer service-oriented individual looking to join a dynamic team, we would love to hear from you. Apply now to join our team as a Customer Service Representative.

Expected salary:

Job date: Sat, 20 Jul 2024 22:24:26 GMT