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Caloah Private Equity

Caloah Private Equity

www.caloah.ca

1 Job

5 Employees

About the Company

Caloah isn’t your typical Private Equity firm – we were originally founded as a family office (TRG Capital Corp.), so our focus has always been on disciplined risk management and long-term value creation. With a minimum 50% of our funds being capitalized with proprietary capital, you can have confidence that our firm is a responsible fiduciary, focused less on generating fees and more on capital appreciation.

Listed Jobs

Company background Company brand
Company Name
Caloah Private Equity
Job Title
Analyst / Associate, AI & Technology Strategy
Job Description
**Job Title:** Analyst / Associate, AI & Technology Strategy **Role Summary** Design, implement, and maintain AI-driven solutions to optimize investment operations and decision-making for a private equity firm. Focus on automating workflows, enhancing data analysis, and deploying scalable technology across investment management and portfolio companies. **Expectations** Highly technical, hands-on role at the intersection of finance, AI, and strategy. Requires deep expertise in AI/ML tools, automation, and data platforms. 70% of time dedicated to implementation; 30% to design, documentation, and collaboration. **Key Responsibilities** - Build and maintain production-ready AI solutions for investment operations (e.g., financial modeling, FP&A, reporting). - Automate repetitive tasks (data entry, legal documentation management, market research). - Develop tools to analyze financial statements, general ledgers, and portfolio company data to surface actionable insights. - Collaborate with investment teams to integrate AI into decision-making workflows. - Document and scale AI tools for internal and portfolio company use. **Required Skills** - Strong coding proficiency in Python, R, SQL, or similar languages. - Experience with machine learning libraries (e.g., TensorFlow, PyTorch) and AI workflow frameworks. - Familiarity with data visualization tools (Tableau, Power BI) and cloud platforms (AWS, Azure). - Analytical problem-solving and experience with automation technologies (RPA, workflow tools). - Understanding of financial modeling, FP&A, and investment operations. **Required Education & Certifications** - Bachelor’s/Master’s degree in Computer Science, Data Science, Quantitative Finance, or related field. - Certifications in AI/ML (TensorFlow Developer Certificate, AWS ML Specialty) or data science (Cloudera, Databricks) preferred.
Vancouver, Canada
On site
15-01-2026