Description:

Time Research is a quantitative trading firm founded in 2019, focusing on systematic and quantitative strategies to achieve high quality, uncorrelated returns.
The firm has an average daily trading volume of over $2B USD across more than 15 crypto trading venues.
The company specializes in multi-strategy quantitative trading across a wide range of digital assets, employing diverse approaches such as liquidity provision, market making, statistical arbitrage, systematic long/short, DeFi strategies, and direct external investments.
As a technology and research-driven firm, Time Research designs and builds its own cutting-edge systems, including high-performance trading, large scale data analysis, and compute farms.
The role involves developing and maintaining backend systems using Rust, with a focus on Tokio for asynchronous programming.
Responsibilities include building high-performance TCP-based network applications, designing and implementing gRPC services, integrating backend systems with blockchain networks, and optimizing quantitative models and algorithms.
Collaboration with DevOps teams for deployment, monitoring, and optimization of backend services in cloud or distributed environments is required.
The position also involves debugging and resolving performance issues in networking, blockchain integration, or quantitative computations, while staying updated with advancements in Rust, blockchain, and quantitative tools.

Requirements:

Proficiency in Rust programming with hands-on experience in backend development is required.
Expertise in Tokio, asynchronous programming, and TCP networking is necessary.
Experience in building gRPC services and working with protocol buffers is essential.
A strong understanding of blockchain integration, including wallet SDKs and smart contract interaction, is required.
Knowledge of quantitative development concepts, including implementing or optimizing algorithms and models, is necessary.
Proficiency in designing and implementing APIs using RESTful, GraphQL, or gRPC technologies is required.
Familiarity with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis) is essential.
Strong problem-solving, debugging, and optimization skills, particularly in networked and distributed systems, are required.

The position offers a competitive remuneration package and a meritocratic culture where accomplishments are rewarded.
Employees will work in a fast-paced and result-oriented environment with a flat structure.
Teams collaborate in a casual working environment, promoting a positive workplace culture.
There is excellent exposure to the digital asset ecosystem and the latest market insights.
The role provides great career development opportunities within the firm.