Financial Analyst — Tokenized Credit & Real-World Assets About the Company Our client is an early-stage, venture-backed financial technology company building permissionless digital-asset infrastructure that connects institutional real-world-asset (RWA) investment strategies with onchain capital. The platform gives investors access to actively managed, institutional-grade yield strategies spanning private credit, trade finance receivables, tokenized government securities, and structured credit — delivered through audited, non-custodial vault infrastructure with no minimum investment and no lock-up requirements. The company was founded by a small team of operators with backgrounds at leading general investment banks and a major digital-asset exchange, bringing institutional trading, credit underwriting, and risk-management experience to the digital-asset markets.

Its investment process draws on a track record of managing a private-credit portfolio with a strong risk-adjusted yield and a clean default history prior to the platform's launch. The company operates under a disciplined, institutional risk framework — covering origination, underwriting, and ongoing portfolio monitoring — and its smart-contract infrastructure has been independently audited by respected third-party security firms. This is an opportunity to join a lean, high-ownership team at the intersection of institutional credit investing and decentralized finance, at a formative stage of the company's growth.

Position Summary The company is seeking to appoint a Financial Analyst to support the evaluation, execution, and monitoring of investments in tokenized credit and tokenized real-world asset opportunities. The successful candidate will possess a strong foundation in credit and investment analysis, together with an understanding of decentralized finance (DeFi), quantitative methods, automation technologies,



and artificial intelligence applications within investment management. The role requires a disciplined analytical approach, strong quantitative modelling capabilities, and the ability to conduct rigorous due diligence.

Key Responsibilities Investment and Credit Analysis - Develop models to identify, filter, and analyse tokenized credit opportunities and on-chain real-world assets.

- Prepare financial models, valuation analyses, cash flow forecasts, downside cases, and scenario analyses.
- Evaluate corporate, structured, asset-backed, and private credit opportunities.
- Assess borrower creditworthiness through analysis of financial statements, business models, capital structures, cash flow generation, collateral packages, covenant protections, security arrangements, and recovery scenarios.
- Conduct due diligence on digital asset, blockchain, DeFi, and tokenization-related investment opportunities.
- Assess tokenization protocol economics, collateral structures, liquidity mechanisms, governance frameworks, smart contract risks, and associated investment risks.
- Monitor existing investments, portfolio exposures, and developments within the digital asset ecosystem, including emerging systemic risks.
- Analyse portfolio risk, liquidity, duration, yield, return characteristics, and overall credit quality.
- Prepare investment memoranda, research reports, and investment committee materials.
- Perform industry, market,



and competitive landscape analysis to support investment decision-making.
- Develop analytical tools, dashboards, reporting systems, and automated workflows for data collection, analysis, and portfolio monitoring.
- Utilise artificial intelligence tools to enhance research, due diligence, monitoring, reporting, and investment analysis processes.

Qualifications and Experience — Required - Bachelor's degree in Finance, Economics, Accounting, Mathematics, Engineering, Computer Science, or a related discipline.

- Minimum of three years' professional experience in investment analysis, credit analysis, corporate finance, investment banking, or asset management.
- Demonstrated experience in credit underwriting and financial statement analysis.
- Strong financial modelling and valuation skills.
- Knowledge of digital assets, blockchain technology, and decentralized finance.
- Strong written and verbal communication skills in English.

Qualifications and Experience — Preferred - CFA Charterholder or active CFA candidate.

- Experience with quantitative analysis and programming languages such as Python, SQL, R, or similar.
- Experience designing or implementing automated analytical workflows.
- Familiarity with tokenized assets, digital asset lending, structured products, and alternative investments.
- Experience working with institutional investment portfolios, private credit funds, hedge funds, family offices, or asset managers.

Competencies - Strong analytical and problem-solving abilities.

- Excellent attention to detail and commitment to accuracy.
- Ability to assess complex financial and investment opportunities independently.
- Strong organizational and time management skills.
- Intellectual curiosity and a commitment to continuous learning.
- Ability to operate effectively in a dynamic and evolving investment environment.

📌 Financial Analyst — Tokenized Credit & Real-World Assets (Asia)
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📍 Asia