What We Do
Time Research is a quantitative trading firm founded in 2019, utilizing a diversified portfolio of systematic and quantitative strategies to achieve high quality, uncorrelated returns. We were founded by a team of traditional and crypto trading veterans with an average daily trading volume of over $2B USD at over 15 crypto trading venues.
We specialize in multi-strategy quantitative trading across a broad range of digital assets, employing diverse approaches such as liquidity provision, market making, statistical arbitrage, systematic long/short, DeFi strategies, and direct external investments.
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Develop and maintain backend systems using Rust, focusing on Tokio for asynchronous programming.
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Build high-performance TCP-based network applications, implementing custom protocols as needed.
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Design and implement gRPC services to enable efficient communication between microservices and systems.
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Integrate backend systems with blockchain networks (e.g., Ethereum, Solana, Cosmos) and work with smart contracts.
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Implement and optimize quantitative models and algorithms for data analysis, financial computations, or other high-performance tasks.
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Collaborate with DevOps teams to deploy, monitor, and optimize backend services in cloud or distributed environments.
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Debug, troubleshoot, and resolve performance issues in networking, blockchain integration, or quantitative computations.
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Stay up-to-date with advancements in Rust, blockchain, and quantitative tools.
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Proficiency in Rust programming with hands-on experience in backend development.
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Expertise in Tokio, asynchronous programming, and TCP networking.
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Experience building gRPC services and working with protocol buffers.
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Strong understanding of blockchain integration, including wallet SDKs (e.g., Ethers, Alloy) and smart contract interaction.
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Knowledge of quantitative development concepts, including implementing or optimizing algorithms and models.
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Proficiency in designing and implementing APIs using RESTful, GraphQL, or gRPC technologies.
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Familiarity with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
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Strong problem-solving, debugging and optimization skills, with a focus on networked and distributed systems.
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Experience with cryptographic protocols and secure communication (e.g., TLS, mTLS).
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Familiarity with distributed systems, microservices, and container orchestration tools (e.g., Docker, Kubernetes).
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Experience with quantitative libraries (e.g., NumPy, Pandas, QuantLib) or financial systems.
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Knowledge of Layer-2 blockchain solutions (e.g. Arbitrum, ZkSync) and cross-chain technologies.
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Contributions to open-source Rust projects.
Why Join Us
- Competitive remuneration package and a meritocratic culture where accomplishments are rewarded
- Fast paced and result-oriented with a flat structure
- Teams collaborate in a casual working environment
- Excellent exposure to the digital asset ecosystem and the latest market insight
- Great career development opportunities
Disclaimer
Time Research does not accept unsolicited resumes from any professional staffing or search firms. All resumes, or any other information identifying potential candidates, shared with any employee of Time Research by any method without a standing signed supplier agreement will be deemed free to contact without restrictions, and no placement fee of any kind will be paid in the event the candidate is hired by Time Research.