Manager, Valuation Advisory Services APAC

TL;DR

Manager, Valuation Advisory Services APAC: Manage a team of 7 and oversee quarterly valuation processes for institutional real estate funds with an accent on reviewing third-party commercial real estate valuations, financial models, and market data analysis. Focus on ensuring technical excellence, client communications, and project delivery across APAC.

Location: Singapore office (flexible Activity-Based Work model: office for collaboration, remote for focused tasks)

Salary: SGD $120,000–145,000

Company

Global leader providing data, analytics, and advisory services in commercial real estate.

What you will do

• Manage team workflow, daily supervision, coaching, and mentoring of junior staff.
• Conduct reviews of third-party commercial real estate valuations across APAC.
• Analyze market data and valuation assumptions for reasonableness in Market Value opinions.
• Review ARGUS, FORBURY, and Excel-based valuation models for accuracy.
• Handle client communications, resolve concerns with clients and appraisers, and create portfolio presentations.
• Advise clients on valuation processes and develop training procedures.

Requirements

• Location: Based in Singapore office
• University degree in real estate, finance, or related field.
• Fully qualified MRICS or equivalent; versed in IVS/RICS Global Standards.
• 8+ years commercial real estate valuation experience (valuation firm exposure a plus).
• Expertise in ARGUS Enterprise, FORBURY, and MS-Excel financial modeling.
• Fluency in English (additional Asian languages an advantage).
• Strong project management, communication, and attention to detail skills.

Culture & Benefits

• Competitive compensation, bonuses, and total rewards package for well-being.
• Professional growth via Altus Intelligence Academy (150,000+ hours of content).
• Flexible Activity-Based Work model balancing office collaboration and remote focus.
• Inclusive environment promoting diversity, equity, and accessibility.
• Mentorship from CRE experts and access to top data/tools/technology.

Hiring process

• Initial screening (may use AI tools).
• Assessments and interviews by hiring professionals.
• Background checks (employment, education, criminal, etc.) for conditional offers.