Financial Analyst — Tokenized Credit & Real-World Assets

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 global 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 SummaryThe 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 ResponsibilitiesInvestment and Credit AnalysisDevelop 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 — RequiredBachelor'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 — PreferredCFA 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.CompetenciesStrong 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.