Making tomorrow's technology available today.

The primary responsibility of this role is to build and maintain production-level software applications which includes implementing responsive and interactive user interfaces, developing reliable backend modules and/or APIs, and making key database decisions.

Responsibilities

• Understand the business needs and translate them to technical requirements
• Exhibit good front-end and back-end skills in building and maintaining applications
• Make key decisions on the overall stack and software design of projects
• Design and suggest user interfaces paired with UX principles
• Create CI/CD configurations to serve applications in a production environment
• Collaborate with team members practicing different agile methodologies for software development

Required for the Role

• Ability to design software with production-ready software engineering standards
• Proficiency in Javascript and Typescript
• Skills on JS library/frameworks specifically ReactJS, ExpressJS, Apollo, and NestJS
• Knowledge of standard API methodologies such as Rest and GraphQL
• Knowledge on working with Postgres and Mongo databases
• Ability to navigate in a Linux environment
• Familiarity with production deployment and CI/CD
• Knowledge of UI/UX paradigms
• Willingness to learn and adapt to new technologies
• Willingness to work in BGC office, as per schedule

Desirable

• Proficiency in Python and Docker
• Hands on experience in working with event based architectures
• Ability to navigate on an AWS ecosystem
• Ability to architect fullstack greenfield projects
• Knowledge on mitigating common security vulnerabilities on cloud based products

You will engage in the development of infrastructure that makes the modern day data driven applications in financial services possible. You will enable ingestion, processing, storage, and analytics of virtually unlimited amounts of financial data. You will harness the power of cloud computing to create a virtual on-demand supercomputer to run quantitative research that powers algorithmic financial trading.

For us, excitement to learn is better than knowledge.

Responsibilities

• Implement system functionality according to agreed software design
• Write quality code: correct, performant, maintainable and comes with high unit tests coverage
• Participate in peer code review
• Support your developed applications

Required for the Role

• Experience in writing and debugging high performance systems applications
• Experience writing production code in any systems development programming language like C++, Java, Python, Rust, and Go
• Knowledgeable in measuring code performance
• Must be comfortable with working in a Linux environment
• Good verbal and written communication skills
• Commitment to finish tasks and meet deadlines
• Willingness to work in the BGC office, as per schedule

Desirable

• Prior experience writing production code in either C++ or Rust or Go
• Experience programming an FPGA
• Great desire to learn new things
• Works with a team, speaks his/her mind, and accepts team decisions on design choices
• Gets satisfaction in creating great products
• Experience with interpreting and acting on client feedback to make better products

In this role, you will apply mathematical and statistical techniques and engineering software to develop, analyze and implement models to produce financial trading signals. The team is mainly focused on Data Science projects, analyzing large datasets from diverse sources of data.

Responsibilities

• Analyzing and implementing academic research and practitioner literature to create and refine investment ideas / strategies
• Exploring datasets and/or implementing Machine Learning algorithms to produce or combine signals for profitable trading opportunities
• Working closely with our hedge fund partner, Quantbot Technologies, to conduct modeling experiments on existing or newly produced datasets
• Development of internal tools used for research and development
• Ability to work independently (i.e. without constant monitoring by a manager)

Required for the Role

• Strong quantitative abilities - must possess a degree in a quantitative field
• Ability to complete high-level, investment-related research
• Understanding of and ability to implement Machine Learning algorithms, both supervised and unsupervised
• Proficiency in developing data related software in Python
• Willingness to work in BGC office, as per schedule

Desirable

• Experience with Deep Learning algorithms
• Familiarity with or interest in investment products (equities and derivatives), portfolio construction analytics and quantitative portfolio management
• Proficiency in source control tools and collaborative development such as Git
• Knowledgeable of the different software development tools for Python such as unit testing frameworks, documentation frameworks and related technologies
• Capability to design and implement software from scratch using the proper design methodologies
• Familiarity with CI/CD technologies to smoothly delivery software releases

In this role, you will have opportunities in coding, building, testing, releasing, configuring, administering and monitoring of infrastructure and applications deployed on-premise and in the cloud. You will also be encouraged to use the latest technologies and techniques including Artificial Intelligence, Machine Learning and Process Automation to enhance and improve our service offering. You will also be working with technically savvy co-workers involved in the Financial Industry

Given the complexity of our systems and upcoming projects, there is potentially no limit to one's technical growth. Whether you join us as a trainee or an experienced professional, you will have a broad work environment within which you can realize your full potential as a DevOps Engineer.

Responsibilities

• Operations and support for High Frequency Stock Trading, Financial Market Data Pipelines and Cloud Platforms including AWS, GCP and Azure
• Work with different IT teams in the firm such as Development, Data, and Research teams with the goal of always improving IT operations
• Configuration and maintenance of application services using automation tools and CI/CD pipelines that the team will develop and maintain
• Continuous improvement on all facets of IT operations including deployment and end to end testing using automation
• Ensure stability and support of all in scope applications and infrastructure, performing business as usual (BAU) requests and developing/maintaining a run book of operational processes
• Maintain and improve monitoring of the platform and ownership of these tools/dashboards using Prometheus/Grafana and others
• Handling incidents/outages affecting application services up to problem management

Required for the Role

• At least 1-2 years work/personal experience in Supporting Linux environments
• Must have fundamental UNIX/Linux knowledge with strong command line skills
• Willing to learn, a positive attitude, and detail oriented personality
• Good verbal and written communication skills
• Willingness to work in the BGC office in a 24x7 shift environment

Desirable

• Work experience in a global financial institution and/or Start-up IT company
• Work experience using cloud providers preferrably AWS
• Possessing fundamental knowledge of Linux operating systems and software on client-server architecture
• Experience in shell scripting and Python programming
• Establishing the root causes of incidents, and only escalating when necessary
• Ability to analyze software application functionality and suggesting improvements

In this role, you will use problem solving skills and good software engineering practices to design, develop, and deploy software solutions and data pipelines to create new data products to be used by researchers and quantitative traders.
The team is focused on building and maintaining ETL projects, data pipelines, as well as backend services to serve different datasets. In this role, you will have exposure to financial market data and learn how it is used in automated trading on global stock exchanges.

Responsibilities

• Building and optimizing ETL environment in support of quantitative research and trading
• Implementing quality and validation checks for data integrity
• Collaborating with the research team and/or other users to come up with valuable datasets
• Application deployment, development, data extraction, and support

Required for the Role

• Prior experience in designing, building, and deploying software solutions
• Proficiency in developing data related software in Python
• Keen eye on data quality to help ensure correct dataset delivery
• Knowledge on Linux, AWS, Databases (document DB and RDBMS), and Docker
• Willingness to learn new technologies and business domain

Desirable

• Strong knowledge in object-oriented concepts, data structures, and algorithms
• Hands-on experience building data pipelines and/or ETL solutions
• Existing experience working in a high performing team-based environment