TA Quant

About the Role
We're looking for a Senior Rust Developer to join our core engineering team and own the systems that sit closest to the market. This means low-latency order execution engines, high-throughput market data pipelines, real-time streaming infrastructure, and integrations with both centralized and decentralized exchanges. Every millisecond and every line of code matters here, and you'll be the person making sure it all holds up under pressure. This is not a role for someone who wants to write Rust adjacent to trading. You'll be building the backbone of live production systems where correctness, safety, and raw performance have direct P&L consequences. You'll work alongside quantitative researchers and other engineers to implement and deploy strategies, and you'll have meaningful input into the infrastructure decisions that shape how we build and scale. If you've spent years pushing Rust to its limits in high-performance environments and you want that work to matter in real markets in real time, this is the role.
Responsibilities
Design, build, and maintain high-throughput, low-latency trading systems in Rust
Develop and optimize order execution engines, market data feeds, and real-time processing pipelines
Build reliable integrations with centralized and decentralized exchanges across CEX and DEX environments
Architect systems for real-time streaming data and WebSocket communication at scale
Write safe, well-tested concurrent code leveraging async runtimes including Tokio and async-std
Collaborate with quantitative researchers to implement and deploy trading strategies into production
Profile, benchmark, and eliminate performance bottlenecks across critical system paths
Contribute to infrastructure decisions around deployment, observability, and fault tolerance
Requirements
5+ years of professional software engineering experience
2+ years building and maintaining production systems in Rust, and you will be tested on it
Deep command of Rust's ownership model, lifetimes, traits, and async patterns
Experience with high-performance networking including TCP/UDP, WebSockets, and gRPC
Strong understanding of concurrency primitives and lock-free data structures
Familiarity with financial systems, trading platforms, or real-time data pipelines
Linux systems programming and performance tuning experience
Comfortable working independently in a fast-paced, remote-first environment
Nice to Have
Experience with cryptocurrency exchanges, DeFi protocols, or blockchain RPC nodes
Knowledge of FIX protocol or other financial messaging standards
Open-source Rust contributions
Experience with FPGA or kernel-bypass networking such as DPDK or io_uring
Familiarity with quantitative trading concepts including order books and market microstructure
Infrastructure experience with Docker, Kubernetes, Terraform, or Prometheus/Grafana

We're looking for a Quant Developer to sit at the intersection of software engineering and quantitative finance, bridging the gap between research and production. You'll be building the infrastructure that our trading strategies actually run on, including backtesting frameworks, simulation environments, execution systems, and the tooling that lets researchers move from idea to live deployment quickly and with confidence.This role demands both depth and range. You need to write clean, performant, production-ready code, and you need to understand the financial logic behind what you're building well enough to catch problems before they hit live markets. You'll work closely with our quant research team to translate complex mathematical models into reliable systems that execute in real time with minimal latency. If you're the kind of person who takes equal pride in elegant code and sound market intuition, this is built for you.
Responsibilities
Design and develop backtesting frameworks, research tooling, and simulation environments for quant strategy development
Implement and maintain trading algorithms and execution systems across live crypto markets
Optimize code for performance and low latency across the full research-to-production pipeline
Collaborate directly with quantitative researchers to productionize strategies and ensure research assumptions hold in production
Build and maintain data pipelines for market data ingestion, processing, and storage
Monitor and improve live system reliability, catching and resolving issues before they affect trading outcomes
Requirements
Bachelor's degree or equivalent in Computer Science, Mathematics, Physics, or a related quantitative field
3+ years of professional software engineering experience with a focus on performance-critical or financial systems
Strong proficiency in Python as a primary language, with working knowledge of C++ or another compiled language preferred
Solid understanding of financial markets, trading concepts, and quantitative methods including time-series analysis and statistical modeling
Experience building or working with backtesting engines, execution frameworks, or real-time data systems
Ability to read and reason about mathematical models and translate them into reliable, testable code

We're looking for a Quant Researcher to join us remotely and take direct ownership of the research lifecycle, from raw data exploration all the way through to live strategy deployment. You'll work closely with our trading and engineering teams to develop, test, and continuously refine the models and algorithms that drive real P&L outcomes across crypto markets. This is a high-ownership role with meaningful exposure to live markets from day one. You won't be running support research in the background, you'll be a core contributor shaping the strategies we actually trade. That means working with large and often unconventional datasets, identifying exploitable statistical patterns in volatile and illiquid market conditions, and translating rigorous mathematical research into production-ready code that performs when it counts.
Responsibilities
Develop, backtest, and continuously improve quantitative trading models and algorithms, translating mathematical insights into production-ready code
Collaborate with trading and development teams to refine existing strategies and build new ones with a direct focus on P&L impact
Work through large and complex datasets to identify patterns, validate hypotheses, and stress-test models against real market conditions
Conceptualize valuation frameworks, improve mathematical models, and maintain strategy performance in live environments
Conduct ongoing statistical research into crypto market microstructure and price dynamics using both conventional and unconventional data sources
 
Requirements
Advanced degree in mathematics, statistics, physics, computer science, or a related quantitative field
Strong proficiency in probability and statistics, including time-series analysis, machine learning, and pattern recognition applied to financial data
Hands-on programming experience in Python, with familiarity in R or MATLAB and ideally some exposure to compiled languages like C++
Prior experience in crypto markets, digital asset trading, or algorithmic finance
Proven ability to work in a data-driven research environment with minimal direction
Rigorous, evidence-based approach to problem-solving with the ability to move quickly from hypothesis to testable implementation

Create intuitive, responsive user interfaces that deliver exceptional user experiences across our platform. You'll transform designs into pixel-perfect, performant applications while ensuring smooth interactions and real-time data visualization. We're looking for developers who are passionate about user experience, have an eye for design details, and can build complex web applications that handle large datasets efficiently while maintaining responsive, accessible interfaces across all devices and browsers.
Responsibilities:
Build responsive, performant web applications
Implement designs with attention to UX detail
Integrate with backend APIs and manage application state
Ensure cross-browser compatibility and accessibility

About the Role
We're looking for a Lead Backend Engineer to own the architecture and development of our core backend systems. This is a high-trust, high-ownership role at the center of how our platform operates. You'll be making the critical technical decisions that define scalability, reliability, and performance across our services, while setting the engineering standards the rest of the team builds on. You won't just be writing code. You'll be thinking about how systems hold up under load, how failures get contained, and how the infrastructure we build today scales with where we're going. At the same time, you'll be actively mentoring and guiding backend engineers on the team, raising the standard of work across the board. If you're someone who thrives at the intersection of deep technical execution and technical leadership, this is the role for you.
Responsibilities
Design and implement scalable, resilient backend architecture across core platform services
Lead critical technical decisions and set engineering standards for code quality, deployment, and system design
Mentor and guide backend engineers through code reviews, technical discussions, and day-to-day collaboration
Optimize system performance and ensure high availability across production environments
Build and maintain robust API and microservices infrastructure that supports trading and platform operations
Identify and resolve bottlenecks, reliability issues, and performance gaps proactively
Requirements
4+ years of experience in backend engineering with demonstrated ownership of production systems
1-2+ years of experience in a technical lead, staff, or system design capacity
Strong command of distributed systems, scalable infrastructure, and database design
Experience designing and deploying microservices-based architectures in real production environments
Proficiency in at least one modern backend language (Node.js, Go, Python, or similar)
Track record of building systems that perform reliably under high load
Nice to Have
Experience working in crypto, fintech, or trading-adjacent environments
Familiarity with low-latency systems or real-time data pipelines
Experience with cloud-native infrastructure and CI/CD at scale
Exposure to exchange APIs, order book systems, or financial data infrastructure