Requisition ID: 272549 

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

Purpose

The Data Analyst/Engineer will contribute to the overall success of our team, working closely with business analysts, data scientists, and analysts to address business opportunities. This role will have to understand the business needs, requirements, and actively enhance our analytics and artificial intelligence capabilities. The individual has a passion for advanced data analytics, machine learning, and artificial intelligence techniques.    

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Provides technical and analytical expertise in designing and implementing data pipelines, analytics, and AI models.

• Plans and facilitate discussions with business partners to gather business, data source requirements, and use cases in support of advanced analytics and artificial intelligence modeling.
• Creates dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics.  
• Create supervised and unsupervised models in python and/or other relevant languages.

• Builds and maintains proper documentation.
• Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
• Understand how the Banks risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabanks Values, and its Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance and conduct risk.
• Champions a high-performance environment and contributes to an inclusive work environment.

Education/Experience

• A university degree or college diploma in a relevant STEM discipline, with experience in analytics and modelling.
• At least 3-5 years of experience in data science or a related field, preferably within the financial services industry.
• Bi-lingual in English and Spanish is required
• Hands-on programming experience with Python, and familiarity with core data science libraries such as Pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Advanced knowledge of SQL.
• Experience in implementing and managing visualization tools like Power BI.
• Excellent communication skills with a strong customer focus.
• A strong understanding of advanced modelling techniques and the underlying mathematical fundamentals.
• Strong problem-solving skills.
• Knowledge of Capital Markets and Compliance is a strong 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. 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.