Credit Risk Analyst - RockawayX

RockawayX seeks a Credit Risk Analyst to develop credit risk frameworks for tokenized real-world assets, working remotely from Dubai.

**About RockawayX** RockawayX is a global digital asset investment and engineering firm, combining venture investing, systematic yield strategies, and infrastructure to power the on-chain economy.

The firm manages approximately $2bn in assets across venture, yield, and infrastructure strategies, backing 100+ early-stage crypto projects and acting as an institutional liquidity provider across DeFi.

RockawayX is now expanding its risk function into credit risk for tokenized real-world assets (RWA), with a focus on building institutional-grade RWA vaults on chains such as Solana in collaboration with leading DeFi and RWA partners.

## What you'll do

• •Conduct credit risk assessment of tokenized RWA issuers, originators, and underlying asset pools (e.g., private credit, trade finance, real estate, asset-backed facilities)
• •Evaluate tokenized structures and legal wrappers, including collateralization levels, seniority, covenants, and enforcement mechanisms for on-chain and off-chain claims
• •Develop and adapt traditional credit models (PD, LGD, EAD, stress scenarios) and concentration metrics to tokenized instruments and on-chain data
• •Collaborate with legal and structuring to review transaction documentation, term sheets, security packages, and servicing arrangements for RWA deals
• •Design and maintain RWA allocation frameworks for multi-asset RWA vaults, covering limits by issuer, sector, collateral type, tenor, and jurisdiction
• •Contribute to risk curation by balancing yield, duration, liquidity, and credit quality to support market-neutral and conservative yield strategies
• •Partner with DeFi, data, and engineering teams to embed credit risk metrics into internal analytics, monitoring tools, and vault risk parameters
• •Implement ongoing monitoring: exposure dashboards, early warning indicators, covenant tracking, and periodic review of RWA partners and facilities
• •Prepare clear, decision-ready risk memos and recommendations for internal committees and governance processes
• •Support external communication where needed (LP reporting, protocol partners, RWA platforms) on risk methodology and controls

## Conditions

• •Competitive base salary commensurate with experience and seniority
• •Performance-linked bonus tied to the growth and success of the RWA vault business
• •Dubai based or fully remote, with flexibility on working hours and arrangements
• •Opportunity to shape the credit risk framework for a leading institutional player at the intersection of DeFi and RWA
• •Define the credit risk framework for one of the leading institutional players at the intersection of DeFi, RWA, and market-neutral yield
• •Direct exposure to top-tier DeFi, RWA platforms, and infrastructure protocols where RockawayX is an active investor and liquidity provider
• •Work alongside experts in venture investing, quantitative research, engineering, and risk curation
• •Approximately $2bn in assets under management across venture, yield, and infrastructure strategies
• •100+ portfolio companies and deep relationships across the crypto ecosystem

• •Financial statement analysis, cash flow modeling, collateral evaluation, covenants, and recovery analysis
• •Experience with securitizations, warehouse lines, or asset-backed facilities
• •PD, LGD, EAD frameworks, stress testing, concentration metrics adapted to tokenized instruments
• •Familiarity with Basel III/IV RWA treatment, collateral haircuts, credit conversion factors
• •Proficiency in Excel; exposure to SQL or Python for data-driven risk analysis
• •Ability to produce concise risk memos and explain complex structures to non-specialists
• •3 to 7 years of experience in credit risk, structured credit, private debt, or RWA underwriting at a bank, asset manager, credit fund, or rating agency
• •Strong grasp of credit risk concepts: financial statement analysis, cash flow modeling, collateral evaluation, covenants, and recovery analysis
• •Experience analyzing securitizations, warehouse lines, or asset-backed facilities is highly valued
• •Solid analytical toolkit with proficiency in Excel; exposure to SQL or Python for data-driven risk analysis is a plus