Software Engineer - Market Data
Raven is a proprietary high-frequency trading and market-making firm. It provides institutional liquidity across crypto, DeFi, centralized exchanges, prediction markets, and traditional financial venues for exchanges and token issuers.
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About Raven
Raven is a proprietary algorithmic high-frequency trading firm focused on liquidity provision and market making. It operates across centralized and decentralized crypto venues, prediction markets, and traditional financial markets, using low-latency trading infrastructure and its own capital. Raven offers liquidity programs for token issuers, multi-venue coverage, TGE market making, and anchor-liquidity engagements for new exchanges and market venues.
Skills
About the Role
You will build the path that receives decodes sequences normalizes timestamps and delivers market data. You will develop feed handlers for exchange blockchain and prediction-market sources and handle gaps reconnects and out-of-order updates. You will optimize latency capture full-depth data for replay and detect data-quality issues before they affect trading.
Requirements
- Experience building and operating high-throughput low-latency data systems
- Knowledge of sequencing gap recovery backpressure buffering and reconnects
- Deep Rust or modern C++ knowledge
- Linux and networking depth
- Ability to read packet captures and tune systems
- Ability to measure and validate performance improvements
- Fluent English
- No degree or certifications required
Responsibilities
- Build exchange blockchain and prediction-market feed handlers
- Sequence data and recover from gaps
- Implement reconnect logic and handle out-of-order updates
- Optimize latency with hardware timestamps NUMA-aware layouts and cache-aware designs
- Capture full-depth data into a historical archive
- Build trusted research replay paths
- Detect stale feeds crossed books sequence anomalies and chain issues
- Monitor prediction-market outcome consistency
Hiring Process
Four stages. No filler rounds, no games. 1. Intro call: short conversation with the hiring lead, context on the role/firm, understand fit. 2. Technical deep-dive: role-specific, understand how you think. 3. Take-home or case: a scoped problem reflecting actual work, review the output with you. 4. Onsite or final round: meet the broader team, cultural fit, stretch discussion, offers move fast after this.