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Added 3 mins ago
R
Analytics Specialist
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Mississauga, ON
- $52,000 to $56,000 CAD / year
- Contract
- Basic experience with Power BI, Power Query, or similar data-visualization tools.
Added 33 mins ago
NF
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Added 5 hours ago
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Added 7 hours ago
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Added 11 hours ago
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Added 12 hours ago
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Added 13 hours ago
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Added 16 hours ago
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Added 16 hours ago
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Added 16 hours ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Calgary
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Experience with Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, and related Microsoft AI capabilities.
Added 17 hours ago
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Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
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KingSett Capital

Associate Director, Development

Toronto, ON, Canada

Base salary range of $110,000-$140,000. · Full-time

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Job details

Pay: Base salary range of $110,000-$140,000.
Job type: Full-time
Apply by: Nov 4, 2026
Experience: 5-8 years of experience in real estate development, investments, acquisitions, or private equity, with strong exposure to financial modeling and automation.
Posting language: English
Posted: Oct 5, 2026

Original job description

About the Opportunity

KingSett is seeking an Associate Director to join the Development team. This role will have a primary focus on automation, while leveraging a strong background in real estate finance and development modeling. The ideal candidate is eager to take their career to the next level by applying these skills to drive advanced technology and automation across the KingSett platform.

This role will appeal to you if you possess a true sense of ownership, take great pride in the quality of your work, and are a problem solver at heart. You must demonstrate integrity, humility, and respect in every interaction.

Location

Toronto, Ontario

Role Responsibilities

Advanced Real Estate Modeling: Build, maintain, and enhance complex financial models for development projects (multi-family, mixed-use, office, retail, affordable housing). Incorporate automation features (macros, VBA, Python, SQL, BI dashboards) to streamline inputs, scenario testing, and reporting. To effectively model you must have a deep understanding of real estate financing structures for various development strategies.
Automated Proformas & Sensitivity Analysis: Design dynamic proformas and automated sensitivity tools to evaluate project returns under varying assumptions.
Fund-Level Consolidation: Automate the aggregation of project-level models into fund-level reporting frameworks, ensuring accuracy and efficiency in portfolio analysis.
Data-Driven Decision Support: Integrate real-time market data feeds into models to provide up-to-date insights for investment committees and management.
Risk & Value Engineering: Apply predictive analytics and modeling techniques to identify risks, optimize costs, and maximize project returns.
Pipeline Monitoring: Automate quarterly review processes by linking models to live data sources across asset classes.
Market Intelligence Automation: Deploy automated tools to collect and analyze market trends, feeding insights directly into development pipeline assessments.
Presentation Automation: Use BI and automation platforms to generate dynamic presentations and approval packages with live model outputs.
Compliance & Governance: Ensure modeling and automation systems align with internal controls, compliance policies, and data governance standards.
Capital Raising Support: Automate investor reporting packages and fundraising materials, integrating outputs from real estate models for consistency and transparency.

Candidate Profile

University degree in Business, Economics, Finance, Engineering, or related fields.
5-8 years of experience in real estate development, investments, acquisitions, or private equity, with strong exposure to financial modeling and automation.
Highly skilled in real estate financial modeling (DCF, proformas, waterfall structures, sensitivity analysis) and automation tools (Excel VBA, Power Query, Python/R, SQL, Power BI/Tableau).
Strong analytical skills with ability to communicate modeling outputs and automated insights to stakeholders effectively.
Excellent interpersonal, written, and verbal communication skills.
Superior organization, attention to detail, and ability to manage multiple automated workflows simultaneously.
Highly organized, energetic, and capable of managing multiple priorities under tight deadlines.

Compensation

Base salary range of $110,000-$140,000.

Total compensation includes salary, variable discretionary bonus, benefits and other perks.

About KingSett Capital

KingSett Capital is a Canadian private equity real estate investment business which creates and co-invests in real estate investment solutions to deliver sustainable premium risk weighted returns. Founded in 2002, KingSett has $19 billion of assets across its Growth, Income, Urban, Mortgage, Residential Development and Affordable Housing strategies. KingSett continues to seek further opportunities to invest in a wide range of real estate properties, developments, joint ventures and mortgage lending.

Application Process

This is a current vacancy. If you are interested in this opportunity, please submit your resume in confidence via LinkedIn or email to recruitment@kingsettcapital.com.

Please note that our recruitment tools include embedded AI features. All applications are reviewed by the KingSett People & Culture team as part of the screening process.

KingSett Capital is committed to accommodating applicants with disabilities throughout the hiring process, in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

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More about this job

Responsibilities

Build and automate complex real estate development models, proformas, sensitivity analyses, and fund-level reporting, integrating market data and analytics to support investment decisions. Improve pipeline monitoring, risk and value analysis, presentations, compliance processes, and investor reporting through automated tools and workflows.

Requirements

A university degree in Business, Economics, Finance, Engineering, or a related field and 5–8 years of experience in real estate development, investments, acquisitions, or private equity are required. Candidates should have strong real estate financial modeling and automation skills, analytical and communication abilities, attention to detail, and the capacity to manage multiple priorities.

Skills

Real Estate Financial Modeling
Development Modeling
Financial Modeling
Excel VBA
Power Query
Python
R
SQL
Power BI
Tableau
DCF Analysis
Proforma Modeling
Waterfall Structures
Sensitivity Analysis
Automation
Data Analysis

Benefits

Benefits
Other Perks
Discretionary Bonus

Visa sponsorship

Not detected in the job text

Keywords

Real Estate Development
Real Estate Finance
Financial Modeling
Development Modeling
Automation
Excel VBA
Power Query
Python
R
SQL
Power BI
Tableau
DCF
Proformas
Waterfall Structures
Sensitivity Analysis
Fund-Level Reporting
Market Data Feeds
Predictive Analytics
Risk Analysis
Value Engineering
Pipeline Monitoring
Market Intelligence
Business Intelligence
Data Governance
Investor Reporting
Capital Raising
Private Equity
Affordable Housing
Commercial Real Estate

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