Earnings on positions in INTERNATIONAL COMMODITIES
INTERNATIONAL COMMODITIES is looking for employees for positions:
data architect
Working hours
full-time
Requirements
MSc in Computer Science, Information Technology, or a related field required
solid understanding of data warehousing and ETL processes
extensive hands-on experience with leading data virtualization tools
strong proficiency in SQL for data manipulation and analysis
demonstrated full data lifecycle management from project inception, feasibility, and design to project delivery
knowledge of data governance, lineage, quality, and master data management best practices in a modern data platform
knowledge of programming languages inc. Python highly desirable
excellent analytical and problem-solving skills with a collaborative mindset
Responsibility
castleton Commodities International is recruiting a Finance Data Architect to join our Global Finance Analytics and Reporting team within our London office
create and maintain logical and physical data models to represent business requirements for data reporting
we are looking for a hands-on and experienced Data Architect with expertise in Logical Data warehousing and Data Modelling to join our finance reporting team to transform how data is managed and utilized to make strategic decisions
lead the implementation and management of data virtualization tools and technologies to access and integrate data from disparate sources efficiently
as a Data Architect, you will play an essential role in designing, implementing, and optimizing critical data pipelines for financial reporting purposes
design and optimize data integration processes, including ETL workflows
your expertise will enable seamless integration of data from various systems and create a unified view of the key financial data landscape
collaborate with the Data management team to establish data governance policies, security measures, and quality standards
senior engineer
Trade
software Development
Software Development
Working hours
full-time
Responsibility
castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor
this fully integrated platform has generated strong risk-adjusted returns for our investors since our formation
execute data architecture and data management projects for both new and existing data sources
help transition existing data sets, databases, and code to a new technology stack
as a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access
over time, lead analysis of data sets using a variety of techniques including machine learning
as a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets
manage end to end data ingestion process and publishing to investing teams
Requirements
bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study
interest and passion for data architecture, analytics, management, and programming
experience in energy commodities or financial services required
experience in mapping, standardizing, and normalizing data
experience with data integration platforms is preferred, and SnapLogic experience is highly preferred
extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records
advanced skills in writing highly optimized SQLs
experience with relational databases Snowflake or Oracle is preferred
senior software developer
Working hours
full-time
Responsibility
execute data architecture and data management projects for both new and existing data sources
development on our existing market data platforms utilizing Python or Java with Python strongly preferred
help transition existing data sets and databases to a new technology stack
manage end to end data ingestion process and publishing to investing teams
CCI is building out a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform
own the process of mapping, standardizing, and normalizing fundamental analytics data
based out of our London office, this position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets
the Software Developer will assist with all aspects of data – from data architecture design to on-going data management and will have significant exposure to our Risk and Commercial investing teams globally
Requirements
bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related field of study
minimum of 5 years’ experience in DevOps production environment, ideally in financial services or energy commodities
proficiency in writing efficient, reusable, and modular code
proficiency in Java programming is a plus
experience with front-end technologies such as HTML, CSS, JavaScript, and modern front-end frameworks is a plus
in-depth knowledge of Snowflake columnar database and ability to design and optimize complex SQL queries
familiarity with Oracle and PostgreSQL
proficient in using version control systems like Git to manage code repositories effectively
devops engineer
Working hours
full-time
Responsibility
execute data architecture and data management projects for both new and existing data sources
development on our existing market data platforms utilizing Python or Java (Python strongly preferred
help transition existing data sets and databases to a new technology stack
manage end to end data ingestion process and publishing to investing teams
CCI is building out a best-in-class data science platform as being on the forefront of data management and analytics is core to our investment platform
own the process of mapping, standardizing, and normalizing fundamental analytics data
based out of our London office, this position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets
the DevOps Engineer will assist with all aspects of data – from data architecture design to on-going data management and will have significant exposure to our Risk and Commercial investing teams globally
Requirements
bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related field of study
minimum of 5 years’ experience in DevOps production environment, ideally in financial services or energy commodities
proficiency in writing efficient, reusable, and modular code
proficiency in Java programming is a plus
experience with front-end technologies such as HTML, CSS, JavaScript, and modern front-end frameworks is a plus
in-depth knowledge of Snowflake columnar database and ability to design and optimize complex SQL queries
familiarity with Oracle and PostgreSQL
proficient in using version control systems like Git to manage code repositories effectively
developer
Working hours
full-time
Responsibility
castleton Commodities International is a leading commodity trading and investment firm
build APIs to facilitate data access for commercial trading teams
assist in the development of visualization and reporting tools used for business analytics
help identify opportunities for improvement in existing workflows
partner with Data Science team to create next-generation analytic tools including machine-learning driven platforms and code sets
application Deadline: September 22nd
as a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access
as a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop select commodity infrastructure assets
Requirements
pursuing a Bachelor’s or higher degree in Computer Science, Management Information Systems, or related field of study
expected graduation date of Spring/Summer 2025
strong analytical skillset with demonstrated attention to detail
experience in Python/Java and SQL
interest and passion for technology
interest and passion for technology - programming, cloud-based technologies, and analytics
programming, cloud-based technologies, and analytics
ability to communicate and interact with a wide range of users ranging from very technical to non-technical
senior software engineer
Working hours
full-time
Responsibility
work closely with Risk Managers to design and implement new features in market risk systems in Java
continued maintenance and improvement of existing functionality
design and implement a user-friendly web user interface for the above
ad hoc programming work as required
improve current processes and increase the level of automation
share day-to-day support responsibilities of the existing system
Requirements
bachelor’s Degree in Computer Science or a related field
prior exposure to Risk and experience within commodities
advanced knowledge and experience with Java programming is required
postgreSQL, Oracle
strong command of JavaScript/TypeScript and a good understanding of a mainstream web UI framework
react.js with TypeScript
good command of JavaScript/TypeScript and a good understanding of a mainstream web UI framework
significant experience working with RDBMs and a good command of SQL
receptionist / administrator
Working hours
full-time
Responsibility
consistently delivers an excellent and professional front of house experience to all visitors, guests and employees in the office
assist in the coordination of meetings and candidate interviews when necessary
act as the central point of contact for all Reception activities and FOH operations
organise new joiner photos / staff passes and support with new joiner induction preparations
register, meet and greet visitors / guests and provide refreshments
support office colleagues with organizing office events including weekly regular breakfasts / lunches
answer all incoming calls to the London main line including taking messages
accept, distribute and prepare mail and delivery of packages, including liaising with couriers
data scientist
Working hours
full-time
Responsibility
help drive alpha for users by assisting with identifying and back testing of new data sets
assist with managing strategic initiatives around larger big data projects
manage documentation process of data flow, data architecture, investment process, and functional requirements
contribute to our sourcing database of data vendors
apply understanding of the mathematical/statistical fundamentals behind machine learning to improve existing applications and inspire new ones
overtime, drive communication between commercial teams, vendors, and key stake holders
work with desk heads, traders and analysts across the European energy trading teams in order to gain the understanding of current data flow, data architecture, investment process, and functional requirements for this data science position
lead communication between commercial teams, vendors, and key stake holders on key projects
Requirements
bachelor’s degree or ideally higher level in Computer Science, Mathematics, Physics, Mathematics, Business Intelligence or related field of study
bachelor's degree in Mathematics, Statistics, Computer Science, or related field of study with a focus in machine learning
essential to have experience with databases, ideally in financial services
ability to work with large, complex data sets
experience with SQL and Python is required
interest or experience in machine learning/Artificial Intelligence preferred
prior experience in commodities is preferred, but not required
prior experience in commodities is preferred
software developer
Working hours
full-time
Responsibility
execute data architecture and data management projects for both new and existing data sources
work directly with Commercial Trading teams to reengineer & optimize trading processes and models
development on our existing market data platforms utilizing Python or Java with Python strongly preferred
help transition existing data sets and databases to a new technology stack
partner with Data Science team to create next-generation analytic tools including machine-learning driven platforms and code sets
manage end to end data ingestion process and publishing to investing teams
develop software to support commercial activity including supply & demand, positions, and market data analysis
work directly with Commercial Trading teams to reengineer & optimize trading models
Requirements
bachelor’s degree in Computer Science, Mathematics, Physics, Engineering or related field of study
bachelor’s or higher degree in Computer Science or related field of study
minimum of 5 years’ experience in DevOps production environment, ideally in financial services or energy commodities
advanced Python experience
proficiency in writing efficient, reusable, and modular code
advanced understanding of object-oriented programming concepts
proficiency in Java programming is a plus
working knowledge working with cloud-based technologies
support engineer
Working hours
full-time
Requirements
flexibility, punctuality, strong sense of ownership and responsibility
should possess a positive, flexible attitude and a strong work ethic
ability to stay calm under pressure
eagerness to learn
excellent and friendly attitude when dealing with customers
develop, document, and maintain policies, procedures and associated training plans for system administration and appropriate use
ability to perform project-based work, execute project plans, and meet deadlines is required
A thorough understanding of automation techniques and desktop standards on an enterprise scale
Responsibility
perform hands-on fixes at the desktop level, including installing and upgrading software, installing hardware, and configuring systems and applications
build rapport and elicit problem details from customers
identify and learn appropriate software and hardware used and supported by the organization
assist in developing long-term strategies and capacity planning for meeting future computer hardware needs
equipment Used
windows-based PCs, Workstations MacOS, Iphones
perform Level 1 and 2 support as required: handle incoming help requests from end users via both telephone and e-mail in a courteous manner
Education
college Degree in Computer Science or Information Technology is preferred