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Greater London, England, United Kingdom
Hybrid
Commcise offers independent, cloud-based (SAAS), fully-integrated commission management and research valuation solutions to the buy-side, sell-side and research providers through its COMMCISEBUY, COMMCISESELL and COMMCISECS product suite.
With over 600 buy-side and sell-side clients globally, Commcise’s clients include some of the largest institutional asset managers, hedge funds, brokers and research providers in the world.
Commcise is a company of Euronext, the leading pan-European exchange in the
Eurozone.
Commcise is seeking an experienced and passionate individual to join our team to:
build-out new Data Products
integrate AI into existing business functionality.
As a Data Product Developer, you’ll play a crucial role in shaping our data-driven solutions. This position can be considered “Full Stack”, combining Data Science analysis with engineering solutions for final product delivery to our clients. We are looking for someone with a positive, entrepreneurial mindset who can collaborate effectively with cross-functional teams to build innovative data products and seamlessly integrate AI capabilities into our existing business functionality.
The role entails:
Dive into complex datasets, extracting meaningful insights, and identifying patterns.
Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies.
Write efficient, maintainable code for processing and transforming data.
Collaborate with data engineers to ensure seamless integration of data pipelines.
Work closely with the team to deliver data products onto the target platforms
Work with the team to integrate AI models into our systems
Collect, process, and analyse large datasets from various sources to uncover insights and patterns.
Collaborate with cross-functional teams to understand business objectives and translate them into new data products
Perform data mining, statistical analysis, and predictive modelling to drive business decisions.
Build data architecture and pipelines to support data products
Build predictive models for various business applications (e.g., Research Pricing, recommendation systems).
Optimize and fine-tune existing models for improved performance, efficiency, and accuracy.
Develop and implement machine learning models using Python and relevant libraries
Communicate findings and results to both technical and non-technical stakeholders.
Minimum of 3 years of hands-on experience in data product development.
Strong understanding of data structures, algorithms, and statistical concepts.
Proficiency in Python and ETL frameworks
Deep knowledge of data pipeline architectures and products such as Snowflake or similar
Experience with delivering data products to clients via APIs
Familiarity with data visualization tools
Knowledge of locating, assessing and integrating third party data-sets
Experience with machine learning techniques and libraries (e.g., regression, classification, clustering, neural networks).
Solid understanding of AI concepts, including supervised and unsupervised learning.
Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure)
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Comfortable in fast-paced, entrepreneurial environment
Strong communication and teamwork abilities.
Ability to deliver individually and as well as a part of the team
Excellent analytical, problem-solving, and critical thinking abilities
Euronext Values
Unity
• We respect and value the people we work with
• We are unified through a common purpose
• We embrace diversity and strive for inclusion
Integrity
• We value transparency, communicate honestly and share information openly
• We act with integrity in everything we do
• We don’t hide our mistakes, and we learn from them
Agility
• We act with a sense of urgency and decisiveness
• We are adaptable, responsive and embrace change
• We take smart risks
Energy
• We are positively driven to make a difference and challenge the status quo
• We focus on and encourage personal leadership
• We motivate each other with our ambition
Accountability
• We deliver maximum value to our customers and stakeholders
• We take ownership and are accountable for the outcome
• We reward and celebrate performance
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.