Oscar Huang

• Spearheaded target screening for corporate restructuring: Identified 30+ potential targets; quantified underlying asset value using a standardized four-dimensional framework; developed project evaluation models to calculate debt-service residual value and identify core risks in cases; researched restructuring pathways and assisted in building trust beneficiary distribution schemes • Led development of an interlinked multi-sheet Excel valuation model, enabling independent accounting for asset valuations/costs across 10+ business types. Facilitated sensitivity analysis on 25+ variables, improving decision efficiency by 40%. Consolidated sales revenue, construction expenditures, and prepaid/liquidated taxes to calculate residual project net cash flow. Delivered stratified outputs for base/overlay returns to assess restructuring feasibility. Managed investment decisions by quantifying cash flows (inflow/outflow/IRR) for investors (LY/HL/GR), applied in fund exit simulations and contingency clause design • Conducted in-depth independent research on ST Heta, analyzing core variables in its restructuring plan: quality of strategic investor introduction, growth potential of core e-paper business, and delisting risk matrix. Built financial projection models to quantify post-restructuring improvement potential in debt-to-asset ratios

• Conducted research on ETFs, covering 35 secondary industries across market, enhanced foreign investor appeal by incorporating Stock Connect screening criteria, with a focus on new quality productive forces; monitored 2024 passive fund trends, predicting capital rotation from CSI 300 ETFs to CSI A500 ETFs; identified "year-end market deployment windows" using valuation quantile models and capital flow analysis, collaborated by historical monthly return data • Analyzed public REITs, screening assets per Circular No. 1014 compliance standards. Spearheaded due diligence for 5 infrastructure projects (including 2 consumer REITs with underlying mall assets). Assessed structural dynamics across 64 listed REITs. Designed specialized accounts for insurance capital, addressing SMEs' lack of direct investment qualifications via an "80% REITs + 20% cash" allocation strategy • Participated in project promotion with BlackWing Asset, analyzing the CSI A500 Index Enhancement Strategy. Deconstructed product architecture into an AI-driven quantitative model (iterating 20-30 factors monthly) and full-spectrum CTA trading (microsecond latency).

Pioneered investments in AI-driven aging society solutions through technical diligence and market validation • Architected Directed technical diligence for 3 early-stage generative AI startups, prototyping open-source AI applications to validate commercial viability in aging tech markets, confirming scalability to 31k+ users and robust unit economics. • Architected IP defensibility frameworks by reverse-engineering RBAC data architectures and patent landscapes, uncovering 2 acquisition targets with proprietary data moats for Series A opportunities • Drove portfolio revenue growth at Suxaingyuan (AI e-commerce platform) by synthesizing user preference clusters and sales funnel analytics, formulating GTM pivots, securing 15M supplier commitments, and reducing CAC by 22%

Drove strategic program development and high-impact stakeholder engagement for C-suite initiatives • Engineered pre-launch frameworks for sponsor-funded programs through integrated risk/data analysis and budget optimization, achieving 95% participation and saving 2 seasonal budgets via vendor renegotiation and digital resource allocation • Orchestrated end-to-end execution of 6th SHERO Global Women Business Summit (500+ attendees plus 3K+viewers), establishing 8 strategic alliances with corporate partners and facilitating CEO-level dialogues on gender-equity investment pipelines

• Designed and implemented KPMG's firm-wide 'Data Culture' program across 4 core domains (security, connectivity, governance, technology), developing a strategic roadmap to accelerate analytics adoption, mitigate operational risk, and unlock commercial value. Program adoption enhanced data-driven decision-making across four departments, resulting in a 19% reduction in data incidents and laying the groundwork for a scalable analytics foundation • Co-developed enterprise digital transformation strategy for Tokio Marine China, leveraging KPMG's CDO framework to transition client to a 'GlobalDigitalScenario' operational model. Translated strategic vision into actionable initiatives, resulting in 15-25% efficiency gains in core workflows and enabling data-driven risk management optimization • Structured and executed complex data strategy engagements from diagnosis to implementation, synthesizing technical requirements with business objectives (e.g., risk mitigation, operational efficiency, revenue enablement). Delivered executive-level recommendations directly informed client investment priorities and operational redesigns

• Priced embedded derivatives in variable annuity (VA) riders using n-period binomial asset pricing models, simulating 10,000+ paths to evaluate guaranteed minimum withdrawal benefits (GMWBLs) under stochastic interest rates • Calibrated Black-Scholes parameters (volatility surfaces, dividend yields) for equity-indexed annuity (EIA) options, reducing pricing errors by 4% via volatility smile adjustments • Detected arbitrage opportunities in hedging portfolios using risk-neutral valuation, leading to rebalancing strategies saved seasonal money in projected hedge costs • Modeled asset-liability dynamics via Brownian motion simulations (Python) for reserve forecasting under Solvency II, capturing correlated equity/interest rate risks • Optimized hedging portfolios using quadratic utility functions, balancing transaction costs against tail risk exposure for VA guarantee liabilities

Main Course: Information Strategy, Python Programming, Fundamentals of Database, Big Data Analytics, Cybersecurity, IS Analysis&Design, Digital Business, Web Analytics, Deep Learning, Machine Learning

Relevant Courses: Calculus, Linear Mathematics, Probability, Statistics, Modelling with Differential Equations, Vector Calculus, Stochastic Models, Optimization, Mathematical Finance, Machine Learning