Gambit Research specialises in creating and managing an automated betting service, via research, statistical analysis and the use of complex algorithms. We ingest and organise terabytes of market and event data from more than fifty sources and make the data available to our strategy teams in real time. We care deeply about speed, accuracy and availability.
Our flagship product, MollyBet.com, presents the odds offered by many of the world's largest bookmakers and betting exchanges, and enables clients to bet with multiple operators with a single mouse-click or API request. Molly is generally regarded as the best product in its class.
We're always looking for clever, pragmatic, and autonomous individuals to join our team. We have a unique culture, where hierarchy and fancy job titles don't matter. Instead our team is given the freedom to choose their own tools, work on projects they actually find interesting, and have totally flexible working hours. The technologies our team typically works with includes: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, and GitLab.
Gambit Research specialises in creating and managing an automated betting service, via research, statistical analysis and the use of complex algorithms. We ingest and organise terabytes of market and event data from more than fifty sources and make the data available to our strategy teams in real time. We care deeply about speed, accuracy and availability.
Our flagship product, MollyBet.com, presents the odds offered by many of the world's largest bookmakers and betting exchanges, and enables clients to bet with multiple operators with a single mouse-click or API request. Molly is generally regarded as the best product in its class.
We're always looking for clever, pragmatic, and autonomous individuals to join our team. We have a unique culture, where hierarchy and fancy job titles don't matter. Instead our team is given the freedom to choose their own tools, work on projects they actually find interesting, and have totally flexible working hours. The technologies our team typically works with includes: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, and GitLab.
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
Hey, since you're here, how would you rate your graduate software positions as someone with inside knowledge? I'm considering applying for 2018 as I'll be returning to West London after my degree.
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
For infra/systems/devops engineers, Avoid - they screen you via a Codility test and they expect you to have a 100% score for it, with a 60min time limit for two lengthy problems. Anything below 100% is not enough.
Testing infra engineers for algorithms is plain stupid, completely irrelevant and a total waste of time as it does not translate as a test for any other infra specific skill one might have (problem solving / analysis / troubleshooting / systems design / et cetera).
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
At Gambit we research and manage automated sports betting algorithms on behalf of our clients. Their algorithms run on our proprietary execution platform which interfaces with a large variety of bookmakers and exchanges, enabling access to the best prices and massive liquidity.
Our distributed, concurrent system has a core written in Erlang, which interacts with a wide variety of Python processes across the rest of the business. Some of the other technologies we use are: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, GitLab.
We have a very flat hierarchy and an emphasis on employee freedom. We encourage our team to work on projects that interest them, as we believe people are happiest and most productive when intellectually stimulated. You don't need to be interested in sports or betting.
We're actively hiring for the following positions:
Gambit Research specialises in creating and managing an automated betting service, via research, statistical analysis and the use of complex algorithms. We ingest and organise terabytes of market and event data from more than fifty sources and make the data available to our strategy teams in real time. We care deeply about speed, accuracy and availability.
Our flagship product, MollyBet.com, presents the odds offered by many of the world's largest bookmakers and betting exchanges, and enables clients to bet with multiple operators with a single mouse-click or API request. Molly is generally regarded as the best product in its class.
We're always looking for clever, pragmatic, and autonomous individuals to join our team. We have a unique culture, where hierarchy and fancy job titles don't matter. Instead our team is given the freedom to choose their own tools, work on projects they actually find interesting, and have totally flexible working hours. The technologies our team typically works with includes: Linux, Docker, Kubernetes, Ansible, C, C++, Java, Haskell, Julia, Go, JavaScript, AngularJS, ReactJS, Django, PostgreSQL, Redis, Apache Spark, Apache Kafka, RabbitMQ, Celery, Elasticsearch, Logstash, Kibana, Graphite, Sentry, Git, and GitLab.
We're currently recruiting for:
Visit https://www.gambitresearch.com/jobs.html or send your CV over to careers@gambitresearch.com for more information.