Requisition ID: 202069

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

Purpose

The Bank’s Internal Audit Department plays a key role in the risk management process of the Bank. Our mandate is to provide independent and objective assurance over the design and operation of the Bank’s internal controls and to advise senior management on improvements to the Bank’s operations. 

The role of the Data Scientist is to play a technical leadership role to design and implement an analytical framework that will help Audit Executives to identify emerging risks, support Auditors in audit execution, and coach other team members to improve analytics capabilities.

The ideal candidate will have solid technical knowledge and experience in analytics and data acquisition, and will have the ability to deliver data analytics transformation initiative for Internal Audit.

Key Accountabilities

• Lead data analysis engagements, including providing guidance and supervision to other members of the team
• Collaborate with business lines and other stakeholders to enhance Internal Audit's and the Bank's data analysis practices and adoption
• Identify, acquire and use large volumes of data to provide incremental business value through creation of new models and algorithms that help the Internal Audit group execute Audits more efficiently and allow management to identify emerging risks
• Develop innovative solutions and create products that provide business value and improve customer experience
• Develop and enhance visual dashboards to enable data-based Continuous Monitoring throughout Audit
• Work with large datasets and distributed computing tools for analysis, data mining and modeling
• Prepare detailed documentation to outline data sources, models and algorithms used and developed, as well as results obtained
• Support and deliver on the Data Analytics Innovation initiative by building fully automated analytical models that will help with predictive and prescriptive solutions to test bank’s key controls
• Develop and deliver peer-to-peer training and knowledge-sharing

Functional Competencies

• Extensive experience with statistical analysis tools like R, Python (including libraries such as NumPy, Pandas, etc)
• Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
• Experience using and implementing visualization tools like Microsoft Power BI or Tableau
• Experience working with the Hadoop ecosystem (e.g., Hive, Pig, etc) would be an asset
• Experience extracting and working with structured and unstructured data in a variety of formats residing in a variety of data systems, and, data mining
• Knowledge and experience in Machine Learning techniques (clustering, decision trees, neural networks) and other advanced statistical analysis techniques and concepts
• Excellent written and oral communication skills with extensive experience presenting complex technical ideas and findings to business stakeholders
• Strong problem-solving and analytical skills and thrives in a fast-paced environment
• Project management experience
• Highly motivated self-starter with experience producing high quality data deliverables and able to work independently and in a team environment
• Degree in Statistics, Computer Science or related field

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.