Business Analyst/ Data Analyst

1 week ago

Old Toronto, Canada Finance Professionals Inc. Full time

JOB DESCRIPTION

Location: Hybrid (Downtown, Toronto)

Duration: Until April 2, 2025

Our client, a leading financial institution in Downtown Toronto, is looking for a Business Analyst/Data Analyst - SQL, Python, SAS to support various core work and regulatory/transformational projects. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in Role:
  • Work day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modelling initiatives.
  • Plan and manage initiatives.
  • Map and/or re-engineer key processes, data flows, and/or business rules.
  • Translate concepts into algorithms and architect implementation solutions by business needs and internal/regulatory policies and guidelines.
  • Support several critical core activities in the Capital models space and contribute to critical regulatory and transformational initiatives.
Must-Have Skills:
  • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping, and financial analysis.
  • 10+ years of overall experience in consulting, business analysis, or data/analytic-driven roles.
  • 5+ years of experience translating complex human processes to mathematical algorithms.
  • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst, or Data Analyst with a track record of accomplishments working on cross-functional teams.
  • Expert level skills with business productivity software (e.g., MS Excel, PowerPoint, Visio, Project, JIRA, MS Teams, Lists).
  • Proficient in data governance/lineage (e.g., Informatica, Collibra) and data management (SQL, PowerBI) tools.
  • Refined ability to translate data extraction, transformation, and analysis into queries/code (SQL).
Nice-To-Have Skills:
  • Familiarity with credit risk models/scorecards.
  • An understanding of statistical prediction, estimation, and forecasting models.
  • Programming experience (Python, SAS) with both legacy/traditional (RDBMS) and big data (Hadoop/Hive/Spark) systems.
  • An appreciation for advanced statistical approaches used to assess and address uncertainty.
  • Proficient reading, writing, and speaking Spanish.
  • Domain expertise with retail & small business banking products and risk management practices.
Soft Skills Required:
  • A demonstrated history of problem-solving, technology implementation, and sound judgment.
  • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements/rules, and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers.
  • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines.
Education:
  • Bachelor’s Degree in Engineering, Information Sciences, Business/Commerce, Finance, or equivalent field.

Finance professional is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

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