Business Information Management Specialist IV#26-37244

$68.27

• 72.

32 per hour

Toronto, ON, Canada

Hybrid

Job Description

Our client, a Banking company, is looking for a Business Information Management Specialist IV for their Toronto, ON/Hybrid location.

Responsibilities:

Typical Day-to-Day Responsibilities facilitating the review of the requirements and ensuring requirements are implemented and delivered and validated.

Requirements:

Scope of Project:

Project based

Team Size/Culture:

4 members

Degree/Level of Education:

Bachelor's degree in Finance or a quantitative discipline (e.g., Economics, Mathematics, Statistics, Computer Science, Engineering).

Professional designations such as CFA, CPA, or FRM are strong assets.

Years of Overall Experience:

5-7 years

Preferred/Ideal Candidate Background:

Data project delivery experience in the Financial product space, with exposure to investment with Treasury investment and hedging portfolio.

That is the underlying content along with any account exposure in that product domain.

Need to have that technical background around SQL and Python because that's the fundamental language that needs to be navigating in data bricks.

Advanced proficiency in SQL and Python for data analysis, profiling, reconciliation, validation, and investigation of complex data issues.

• 5 years
  Strong knowledge of banking products and Treasury domains, including exposure to wholesale and/or retail businesses and use cases such as investments, and Treasury data products modeling.
• 5 years
  Proven experience delivering large-scale, complex data initiatives in banking or financial services, with the ability to translate business requirements into practical data solutions and measurable outcomes
• 5 years
  Experience with project testing discipline
• 5 years
  Attention to detail
  Strong communication skills
  Treasury background with other product domain knowledge like liquidity, capital
  Strong technical data management capabilities across enterprise datasets, including data sourcing, onboarding, integration, lineage analysis, source-to-target mapping, and support for modern cloud-based data platforms and end-to-end data flows.

Strong technical capability to support data quality and business validation, including analysis of mapping and transformation rules, control and reconciliation results, root-cause investigation, and partnership with technology teams to resolve defects.

Experience establishing disciplined testing practices for large-scale business and data initiatives, including test planning, test-case design, requirements traceability, execution coordination, defect triage, regression testing, and test evidence.

Demonstrated ability to lead cross-functional teams, drive execution, and deliver tangible business impact.