Senior IT Business Analyst

Nexus Systems Group Inc.; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A technology consulting firm in Toronto is looking for a Senior Business Analyst to support project initiatives in Regulatory Capital Modelling. The ideal candidate will possess over 10 years of experience in business analysis and a strong understanding of process mapping and financial analysis. This hybrid role requires collaboration with cross-functional teams and offers the potential for contract extension. Competitive salary based on experience.

Qualifications

• 10+ years of overall experience in consulting or business analysis.
• 5+ years of experience translating human processes to algorithms.
• Proficient in data management tools.

Responsibilities

• Support Regulatory Capital Modelling initiatives.
• Translate concepts into algorithms and implementation solutions.
• Collaborate with cross-bank stakeholders.

Skills

Business analysis

Requirements definition

Process mapping

Data mapping

Financial analysis

SQL skills

Data governance

Expert in business productivity software

Education

Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance

Tools

MS Excel

PowerPoint

SQL

PowerBI

JIRA

Informatica

Job description

Overview

Location Address: 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.

Story Behind the Need

Business group: Global Risk Management (GRM)

Provide a few sentences about what their OU does within the bank.

•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

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.

Typical Day in Role

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.

Candidate Requirements / Must-Have Skills

Please provide the years of experience required for each requirement

• 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

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

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

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.