Location Address: Downtown Toronto

(Hybrid) how many days per week in office: 1-3 days/week

Contract Duration: 5-6 months w/extension possible with business case approval (pending)

Possibility of extension & conversion to FTE : Extension of contract with approved business case (pending).

Number of Positions: 1

Schedule Hours: 8:30am-5pm Monday-Friday (37.5 hrs/week)

Reason to bring resources: Senior BA resource supporting various core and Regulatory/transformational projects.

Project:

Supports various core work and Regulatory / transformational projects

Candidate Value Proposition:

You will 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.

This role will support several critical core activities in the Capital models space and contribute to critical regulatory and transformational initiatives.

Candidate Requirements/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 (ex., MS Excel, PowerPoint, Visio, Project, JIRA, MS Teams, Lists),

• Proficient in data governance/lineage (ex. 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

Best VS. Average Candidate:

The Best candidate is someone with proven track record of delivering projects, managing timelines with technical data skills (SQL, etc.); ability to present knowledge in comprehensible manner

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.