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:

Data Analysis:

• Dive into complex datasets, extracting meaningful insights, and identifying patterns.

• Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies.

Python Coding:

• Write efficient, maintainable code for processing and transforming data.

• Collaborate with data engineers to ensure seamless integration of data pipelines.

Platform Delivery:

• Work closely with the team to deliver data products onto the target platforms

AI Integration

• Work with the team to integrate AI models into our systems

Key Accountabilities

• 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.

Knowledge, Skills and Experience Required

Essential:

• 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

Desirable:

• 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)

Education and Knowledge

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Profile and Skills

• 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