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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 a Manager, Risk Analytics position at Scotiabank. The role involves using advanced analytics to enhance retail lending portfolios, developing innovative credit solutions using data analytics and machine learning techniques, collaborating with various teams to drive innovation and digital transformation, and contributing to strategy development. The job requires a STEM degree, proficiency in big data tools and programming languages, experience with machine learning, and effective communication and collaboration skills. It also emphasizes the bank’s commitment to inclusivity and accommodation for all applicants.
Job Description
Our company is seeking a skilled and experienced Marketing Manager to join our growing team. The ideal candidate will be responsible for developing and executing marketing strategies to drive brand awareness and customer engagement.
Key responsibilities:
– Develop and implement marketing plans across multiple channels including digital, social media, and traditional media
– Identify target customer segments and create targeted marketing campaigns
– Monitor and analyze marketing performance metrics to optimize campaign effectiveness
– Collaborate with internal teams to ensure alignment of marketing efforts with business goals
– Stay current on industry trends and best practices to continuously improve marketing strategies
– Manage marketing budget and allocate resources appropriately to achieve desired outcomes
Qualifications:
– Bachelor’s degree in marketing or related field
– Minimum of 5 years of marketing experience, preferably in a B2B environment
– Proven track record of successful marketing campaigns and initiatives
– Strong analytical and problem-solving skills
– Excellent communication and interpersonal abilities
– Ability to work in a fast-paced, deadline-driven environment
If you are a creative and results-driven marketing professional looking to take the next step in your career, we would love to hear from you. Apply now to join our team and help us achieve our marketing goals!
Expected salary:
Job date: Sun, 21 Jul 2024 05:06:19 GMT
