Data Product Developer

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.

Essential

Knowledge, Skills and Experience Required

• 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.

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.

Additional Information

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent the addition of more tasks and projects.