Web3 Business Analyst - Trading
Rho Protocol provides on-chain trading and settlement infrastructure for institutional capital markets. Its venue supports rates, perpetuals, and tokenized real-world assets through a single margin account with collateral controls.
Funding history
About Rho Protocol
Rho Protocol operates a multi-asset on-chain trading and settlement layer for institutions, including asset and treasury managers, trading firms, market makers, and payments or digital-asset rails. Its offering includes trading, off-exchange collateral, private RFQ execution and settlement through Relay, compliance-gated ERC-4626 Vaults, and connectivity infrastructure via REST, WebSocket, and planned FIX.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Monitor trading and user behavior in real time, analyze market and user data, build dashboards and cohort analyses, design incentive and referral mechanics, model ROI, benchmark competitors, define instrumentation, run experiments, and report actionable findings to stakeholders.
Requirements
- 3–6+ years in business, growth, or trading analytics across crypto, FX, equities, derivatives, or fintech
- Strong SQL skills
- Proficiency in Python or R
- Spreadsheet fluency
- Dashboarding experience with Metabase, Looker, or Data Studio
- Product analytics and experimentation experience with Mixpanel, Amplitude, A/B testing, cohort analysis, and funnel math
- Familiarity with on-chain and market data tools such as Dune, Flipside, and Nansen, plus basic blockchain data structures
- Markets literacy including order books versus AMMs, spreads, depth, funding, fair basis, and maker-taker dynamics
- Excellent decision-oriented communication and executive briefing experience
- Experience with points, loyalty, referrals, fraud vectors, market making, liquidity programs, risk, or compliance is nice to have
Responsibilities
- Track order flow, liquidity depth, spreads, funding, basis, open interest, fees, and slippage and surface anomalies and opportunities
- Build daily and weekly dashboards on user cohorts, retention, and contribution to volume and fees
- Write concise metric summaries with action recommendations
- Design and iterate points, rebates, and referral mechanics with anti-abuse guardrails
- Model ROI for incentive programs and recommend parameter adjustments
- Benchmark competitor incentives, listings, and policy changes
- Define metric trees and own instrumentation specifications and dashboards
- Run A/B tests on campaigns, landing pages, and fee or price experiments and report impact
