Job Description

Business group:

• Global Risk Management (GRM)
• Retail and Small Business Models, Analytics & Strategy (RMAS) develops and owns (end-to-end), the Bank's Retail AIRB Capital Forecasting and Retail Decisioning Models (Originations, Account Management, Collections)

Project:

• OSFI capital models application (CMAP) process, which involves building a new platform to implement their existing models.

Value preposition:

• You will work, day-to-day under the direction of the Regulatory Capital team, leveraging your analytic thinking and approach to support Regulatory Capital Modeling initiatives

Typical day in role:

• 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.
• This role will support several critical core activities in the Capital models space and contribute to critical regulatory and transformational initiatives.
• You will be a critical member of a team collaborating, on a near-daily basis, with a wide range of cross-bank stakeholders and internal partners including Model Developers, Project Management Office, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

Takeaways:

• They are looking to backfill a business analyst role to act as a triage point between the modeling requirements, business requirements, and the IT implementation.
• The key skills required for the role include excellent communication, experience with capital/IFRS 9 frameworks, data governance/lineage, and intermediate SQL skills.

Candidate Requirements/Must-Have Skills:

• 5+ years of experience in business analysis, requirements gathering/interpretation, process mapping, data mapping
• Strong experience with capital/IFRS 9 parameters (models that are being built) and interpreting already built models
• Understanding fundamentals/process of data governance/data lineage
• Intermediate SQL skills, able to write queries (do joins, summary assessments, etc)
• Expert-level skills with business productivity software (ex., MS Excel, PowerPoint, JIRA, MS Teams, Lists)

Nice to have:

• Familiarity with credit risk models and scorecards
• Experience with Python and 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

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

Bets vs average:

• The best candidate understands capital/IFRS 9, quantitative work, interprets pre-built models, and data governance/lineage. The specific tools are less important than the process, governance, and skill set.
• The best candidate is someone who can communicate very well. Some with 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 peer.

Education & Certificates:

• Bachelor's Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field

Candidate review and selection:

• 2 rounds of interviews: 1 - Senior managers; 45min - 1 hour for behavioral, technical, critical thinking, logical questions etc.
• 2 - Director; 1 hour for behavioral, presentations, case study, etc.

Job Details
13717
Contract
Toronto
71.00 CAD
Recruiter
Komal
|

Skills Required