Senior Quant Engineer
To see similar active jobs please follow this link: Remote System Administration jobs
Your team
At Swissblock, we are passionate about using in-depth analysis to create cutting-edge algorithmic trading strategies for cryptocurrency and traditional markets. Our software engineers create and maintain the automated trading platform, which covers data ingestion, strategy generation, order execution, and portfolio management.
As a Senior Quant Engineer you will implement and monitor robust and scalable trading strategies in our proprietary platform based on specifications and prototypes provided by quantitative research.
Your role
Our first generation of the crypto trading platform is running in production. The signal generator, allocation engine and order creator microservices of our automated trading strategies are written in Python. Now we are scaling by adding new strategies, instruments, exchanges, and executing orders with higher frequency. We are also creating our first strategies in the traditional financial domain, with a new backend infrastructure and industry-standard external service providers. Your role requires you to build a deep understanding of new trading strategies our Quant Research team provides and implement them as production-grade services in our execution platform. You will collaborate closely with software engineers who develop data ingestion, exchange connectivity, order management and the execution engine.
Key Responsibilities
● Gather requirements in direct contact with business and technical stakeholders
● Conduct workload and complexity assessments
● Design, plan and implement new trading strategies in Python
● Maintain, enhance and monitor the existing strategies
● Drive and track the progress of trading system changes from concept to production
● Influence the technical direction of new services and initiatives
● Build and extend knowledge of financial instruments
Experience
● M.Sc. in Computer Science or a highly quantitative discipline
● Financial background in traditional finance or digital assets
● Experience in designing and developing quantitative/algorithmic trading strategies
● Algorithms, data structures, complexity analysis and software design
● Hands-on senior-level experience in Python programming
● Working experience with databases: relational, NoSQL and time series
● Proficient written and verbal communication in English
● Strong analytical and problem-solving skills with a proactive attitude to own and
solve issues
● Sense for quality, reliability and innate curiosity to learn new things
Preferred Experience
● Working knowledge of cloud-native architectures, GCP preferred
● Unix based systems, containerized environments and Kubernetes
● Websocket, REST API and message brokers (e.g. Kafka, NATS, MQ)
● Highly proficient in asynchronous, event driven distributed systems
What we offer
● Unique opportunity to work on new, cutting-edge technology in financial trading
● Self-funded and already profitable international company in a future-proof market
● Great culture and team spirit with flat hierarchy and quick decision-making
● Work-life balance with a remote-first culture (Europe or onsite in Zug, Switzerland)
● Competitive compensation scheme with an annual bonus
● 25 days of annual leave, pension, insurance and regular company events
Do you want to help us to bring our already profitable system to the next level and build a
revolutionary trading platform? Then please apply below.
Senior Quant Engineer
To see similar active jobs please follow this link: Remote System Administration jobs
Your team
At Swissblock, we are passionate about using in-depth analysis to create cutting-edge algorithmic trading strategies for cryptocurrency and traditional markets. Our software engineers create and maintain the automated trading platform, which covers data ingestion, strategy generation, order execution, and portfolio management.
As a Senior Quant Engineer you will implement and monitor robust and scalable trading strategies in our proprietary platform based on specifications and prototypes provided by quantitative research.
Your role
Our first generation of the crypto trading platform is running in production. The signal generator, allocation engine and order creator microservices of our automated trading strategies are written in Python. Now we are scaling by adding new strategies, instruments, exchanges, and executing orders with higher frequency. We are also creating our first strategies in the traditional financial domain, with a new backend infrastructure and industry-standard external service providers. Your role requires you to build a deep understanding of new trading strategies our Quant Research team provides and implement them as production-grade services in our execution platform. You will collaborate closely with software engineers who develop data ingestion, exchange connectivity, order management and the execution engine.
Key Responsibilities
● Gather requirements in direct contact with business and technical stakeholders
● Conduct workload and complexity assessments
● Design, plan and implement new trading strategies in Python
● Maintain, enhance and monitor the existing strategies
● Drive and track the progress of trading system changes from concept to production
● Influence the technical direction of new services and initiatives
● Build and extend knowledge of financial instruments
Experience
● M.Sc. in Computer Science or a highly quantitative discipline
● Financial background in traditional finance or digital assets
● Experience in designing and developing quantitative/algorithmic trading strategies
● Algorithms, data structures, complexity analysis and software design
● Hands-on senior-level experience in Python programming
● Working experience with databases: relational, NoSQL and time series
● Proficient written and verbal communication in English
● Strong analytical and problem-solving skills with a proactive attitude to own and
solve issues
● Sense for quality, reliability and innate curiosity to learn new things
Preferred Experience
● Working knowledge of cloud-native architectures, GCP preferred
● Unix based systems, containerized environments and Kubernetes
● Websocket, REST API and message brokers (e.g. Kafka, NATS, MQ)
● Highly proficient in asynchronous, event driven distributed systems
What we offer
● Unique opportunity to work on new, cutting-edge technology in financial trading
● Self-funded and already profitable international company in a future-proof market
● Great culture and team spirit with flat hierarchy and quick decision-making
● Work-life balance with a remote-first culture (Europe or onsite in Zug, Switzerland)
● Competitive compensation scheme with an annual bonus
● 25 days of annual leave, pension, insurance and regular company events
Do you want to help us to bring our already profitable system to the next level and build a
revolutionary trading platform? Then please apply below.