Data Analysis Expert

7 days ago


Toronto, Canada Intelliswift Software Full time

Job Title: Data Analysis Expert - Wholesale Credit Risk Model

Location: Toronto, ON

Duration: 12 months

Contract Type: T4

Pay Rate: CA$57.06 - CA$58.27/Hour

About the Job:

We are seeking a highly skilled Data Analysis Expert to join our team in Toronto, ON. As a key member of our wholesale credit risk model team, you will be responsible for providing subject matter expertise on data processes and management systems.

Main Responsibilities:

  • Provide expert-level support in system development, including comprehensive testing to ensure technology deliverables meet business requirements
  • Perform in-depth data analysis and investigation, identifying discrepancies between business needs and deliverables
  • Gather business requirements from client groups and lines of business, converting them into functional specification documents
  • Analyze problems for senior management change management teams, identifying approach and solution options
  • Collaborate with project teams to resolve roadblocks, perform solution proof-of-concept, and examine third-party product offerings
  • Review project documents to ensure quality, completeness, and adherence to documentation standards
  • Provide business/technical coaching to team members on design patterns, development processes, and application functions
  • Manage operational aspects of governance forums to ensure meeting productivity

Requirements:

  • 5-7 years of data analysis experience, working on large databases
  • Familiarity with credit risk commercial lending data, PD/LGD/EAD model data, and Commercial Financial products
  • Strong experience with business system analysis in complex data warehousing environments
  • Proficient in using SQL statements to query data and perform data profiling, verification
  • Able to do data modeling and perform data mapping
  • Possesses solid business knowledge in Finance/Banking industry

Nice to Have:

  • Experience building data warehouse environments from conception to production

Education:

  • Possesses a university degree in Data Science, Engineering, Information Systems, or Business

Skills:

  • Strong analytical, communication, and presentation skills
  • Attention to detail, leadership skills, quick learning, and multitasking abilities

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