Gainr Protocol is the AI‑powered, Solana‑based infrastructure layer for compliant sports betting and prediction markets. Built around a dual‑token architecture, ZK‑based identity, treasury‑backed liquidity, and a four‑layer AI system, Gainr powers multiple native dApps—Back.bet, Price.bet, and Pick.bet—all sharing the same riskless peer‑to‑pool infrastructure, deep liquidity, and compliance‑ready operational stack.
The protocol integrates a professional trading syndicate (Gainr Analytics) directly into the AI and pricing engine, creating a compounding data and liquidity moat impossible for competitors to replicate.
Gainr operates across event‑driven, high‑volatility, multi‑jurisdictional betting markets where risk must be controlled across:
- Peer‑to‑pool engines
- Order‑book‑style markets
- Treasury‑funded LaaS liquidity provisioning
- Syndicate‑fed predictive intelligence
- Regulated, audited environments requiring explainability & traceability
The CRO will architect the entire quantitative, regulatory, treasury, and model‑risk framework that protects the protocol, users, and liquidity providers while enabling fair, real‑time, and scalable markets.
Owning end‑to‑end protocol risk, spanning liquidity, treasury, model governance, compliance, and system‑wide resilience.
Risk Architecture & Operating Model
- Build the protocol‑wide risk framework covering peer‑to‑pool, prediction markets, and syndicate‑integrated models.
- Define reserve ratios, liability caps, exposure thresholds, halting conditions, slippage logic, circuit breakers, and fairness protections.
- Create model‑risk governance for AI layers: prompt‑based systems, fine‑tuned models, hybrid intelligence, and System‑2 reasoning engines.
- Establish explainability standards aligned with ISO 42001 (AI governance) and 27001 (information security).
Liquidity‑as‑a‑Service (LaaS) & Exposure Management
Work directly with engineering on Gainr’s LaaS architecture:
- Reserve Controller: PID‑based rebalancing of pool skew and automatic liquidity adjustments.
- Exposure Manager: Define atomic insolvency‑protection checks for every transaction.
- Reserve Quoter: Approve price‑locked quotes for large wagers and protect against front‑running.
- Build stress‑adaptive rules for deep, unified, cross‑dApp liquidity.
Pricing, AI Integration & Syndicate Intelligence
- Integrate AI‑generated models (value detection, fair‑price estimation, next‑click prediction) with pool and order book pricing.
- Oversee integration of Gainr Analytics syndicate signals while protecting IP through post‑settlement reveal mechanisms.
- Design pricing frameworks that incorporate:
- Real‑time oracle feeds
- In‑play volatility
- Micro‑market exposure
- Sharp‑flow detection
- Automated hedging & smart treasury routing
AI & Model Risk Governance
- Lead validation and monitoring across all four AI layers (prompting → fine‑tuning → hybrid → reasoning).
- Develop fallback systems for oracle delays, data corruption, model drift, or adversarial conditions.
- Ensure MCP‑based AI microservices are validated, logged, and auditable.
- Define kill‑switches, shadow models, and back‑up rules‑based curves.
Treasury Protection & Stress Testing
- Design capital buffers, collateralization policies, and diversification guidelines for treasury‑held stablecoins and reserve assets.
- Implement Monte Carlo, regime‑shift simulations, fat‑tail modelling, and scenario libraries (injuries, manipulation, late‑breaking news).
- Oversee solvency tests across the betting cycle: pre‑match, in‑play, sharp‑flow spikes.
Compliance‑First Risk Controls
- Align all market mechanics with global iGaming licensing frameworks (Isle of Man, Malta, UKGC, Curaçao, Cyprus).
- Ensure risk logic supports ZK‑KYC, geo‑fencing, AML/CTF controls, and responsible gaming requirements.
- Maintain separation between:
- BET (internal non‑transferable betting token)
- $GAINR token (utility, access, buyback economics)
- Guarantee that treasury behaviour, token flows, and liquidity operations remain non‑securitized.
Security, Audit & Oracle Integrity
- Own risk sign‑off for all deployments, audits, and upgrades (with time‑locked governance).
- Oversee bonded multi‑signer oracle networks, pause conditions, and fail‑over routes.
- Collaborate on continuous penetration testing, bug bounty, incident response, and protocol‑level monitoring.
Qualifications
- Advanced quantitative degree or FRM qualified.
Experience
- 10+ years in quantitative risk, ideally across:
- Market‑making (crypto or traditional)
- Parimutuel systems
- AMM/DeFi architecture
- Sports betting markets or event‑driven risk
- Experience with on‑chain systems, oracle frameworks, and smart‑contract risk.
Technical Skills
- Strong command of:
- Stochastic modelling, Monte Carlo, limit‑order/AMM mechanics
- Liquidity modelling & microstructure
- AI model risk assessment & interpretability tools
- Proficiency in Python/R/MATLAB, as well as understanding how risk constraints map to Solana program interfaces.
Domain & Governance
- Familiarity with global iGaming licensing, KYC/AML, responsible gaming frameworks.
- Experience writing risk policies, exposure guidelines, model governance charters, and chairing risk committees.
Traits
- First‑principles thinker
- Automation bias
- Excellent communicator capable of bridging Quant ⇄ AI ⇄ Engineering ⇄ Compliance
- €12,000/month in $GAINR tokens + equity (per Compensation Policy – Gainr Analytics)
- Ownership of the risk brain of a multi‑dApp, AI‑native ecosystem
- Work with world‑class quants, AI researchers, and blockchain engineers
- Fully remote, globally distributed team
Gainr Analytics is a professional sports trading syndicate providing the proprietary datasets, trading flow, and predictive models that power the protocol’s AI and pricing engines.
