Job Description
- Equity Investment Strategy
- Portfolio & Manager Analysis
- Language requirements : Fluent in Korean and English (written and spoken)
- Expected Bachelor’s or Master’s degree in Economics, Business, Finance, Engineering or
a related field
- Strong written communication skills
- Financial certifications or progress toward professional qualifications preferred.
- Resume
- Case Study answer
※ You may write the case study in either Korean or English
Case Study
* Please select one of the case studies below and prepare a detailed investment proposal.
The final deliverable must be submitted in MS Word or PowerPoint format (PDF conversion
accepted)
Case 1. [Alpha Strategy] High-Conviction Investment Opportunities in the 2026 AI Landscape
Background:
The Artificial Intelligence industry is transitioning from a phase of initial technological diffusion
to one defined by infrastructure build-out and tangible monetization. Consequently, the valuation
framework is evolving, placing increased scrutiny on cost structures, regulatory headwinds,
adoption rates, and capital expenditure cycles. Specifically, looking ahead to 2026, we anticipate that exogenous variables -- including government policy, the technological maturity curve, and geopolitical friction -- will exert divergent pressures across different AI sub-sectors.
The Assignment:
Analyze the 2026 AI landscape to derive investment priorities. Select a Top Pick within your
preferred sub-sector and present a comprehensive investment thesis.
Your analysis should address the following key components:
1. Sector Outlook: Assess structural shifts in the 2026 AI market and rank sub-sectors by
investment attractiveness.
2. Investment Recommendation: Pitch a Top Pick company within your priority sub sector. Articulate the core investment thesis.
3. Benchmarking & Risk: Compare the asset against key Peer Comparables and identify primary downside risks.
Reference Sub-Sectors (Examples):
• Semiconductors (Compute/Memory)
• On-device(Edge AI)
• Hyperscalers/Platforms (Big Tech)
• Infrastructure (Power/Utilities/Data Centers)
• Humanoid Robotics(in Physical AI)
• Quantum Computing
Case 2. [Asset Allocation] Construction of a Multi-Asset Model Portfolio
The Assignment:
Construct a 2026 Annual Model Portfolio (MP) designed to maximize risk-adjusted returns using
a liquid multi-asset universe (Equities, Fixed Income, and Commodities). The proposal must
demonstrate a coherent macro view and a rigorous asset selection process.
Required Deliverables:
1. Macroeconomic Outlook: Provide a 2026 market thesis and directional views for each
asset class based on macro drivers.
2. Optimization Logic: Detail the methodology for Capital Market Assumptions (CMAs)
and the logic used to derive expected returns.
3. Performance Projection: Provide a forward-looking simulation or scenario analysis for
the proposed portfolio.
Investment Guidelines
• Investment Universe: Global Equities, Fixed Income, and Commodities (ETFs or Indices)
Note: Asset allocation across regions, sectors, and factors is encouraged
• Portfolio Constraints:
o Risk Profile: Target Volatility < 8% (Annualized)
o Base Currency: USD
Logistics & Disclaimer
Job Description
- Equity Investment Strategy
- Portfolio & Manager Analysis
- Language requirements : Fluent in Korean and English (written and spoken)
- Expected Bachelor’s or Master’s degree in Economics, Business, Finance, Engineering or
a related field
- Strong written communication skills
- Financial certifications or progress toward professional qualifications preferred.
- Resume
- Case Study answer
※ You may write the case study in either Korean or English
Case Study
* Please select one of the case studies below and prepare a detailed investment proposal.
The final deliverable must be submitted in MS Word or PowerPoint format (PDF conversion
accepted)
Case 1. [Alpha Strategy] High-Conviction Investment Opportunities in the 2026 AI Landscape
Background:
The Artificial Intelligence industry is transitioning from a phase of initial technological diffusion
to one defined by infrastructure build-out and tangible monetization. Consequently, the valuation
framework is evolving, placing increased scrutiny on cost structures, regulatory headwinds,
adoption rates, and capital expenditure cycles. Specifically, looking ahead to 2026, we anticipate that exogenous variables -- including government policy, the technological maturity curve, and geopolitical friction -- will exert divergent pressures across different AI sub-sectors.
The Assignment:
Analyze the 2026 AI landscape to derive investment priorities. Select a Top Pick within your
preferred sub-sector and present a comprehensive investment thesis.
Your analysis should address the following key components:
1. Sector Outlook: Assess structural shifts in the 2026 AI market and rank sub-sectors by
investment attractiveness.
2. Investment Recommendation: Pitch a Top Pick company within your priority sub sector. Articulate the core investment thesis.
3. Benchmarking & Risk: Compare the asset against key Peer Comparables and identify primary downside risks.
Reference Sub-Sectors (Examples):
• Semiconductors (Compute/Memory)
• On-device(Edge AI)
• Hyperscalers/Platforms (Big Tech)
• Infrastructure (Power/Utilities/Data Centers)
• Humanoid Robotics(in Physical AI)
• Quantum Computing
Case 2. [Asset Allocation] Construction of a Multi-Asset Model Portfolio
The Assignment:
Construct a 2026 Annual Model Portfolio (MP) designed to maximize risk-adjusted returns using
a liquid multi-asset universe (Equities, Fixed Income, and Commodities). The proposal must
demonstrate a coherent macro view and a rigorous asset selection process.
Required Deliverables:
1. Macroeconomic Outlook: Provide a 2026 market thesis and directional views for each
asset class based on macro drivers.
2. Optimization Logic: Detail the methodology for Capital Market Assumptions (CMAs)
and the logic used to derive expected returns.
3. Performance Projection: Provide a forward-looking simulation or scenario analysis for
the proposed portfolio.
Investment Guidelines
• Investment Universe: Global Equities, Fixed Income, and Commodities (ETFs or Indices)
Note: Asset allocation across regions, sectors, and factors is encouraged
• Portfolio Constraints:
o Risk Profile: Target Volatility < 8% (Annualized)
o Base Currency: USD
Logistics & Disclaimer