Careers

Join us and be part of a collaborative environment where your contributions will drive the success of our market data compliance initiatives, shaping the future of our organization!

Key Accountabilities

Profile

The team is in charge of securitised derivatives retail product development activities across the Group. The team is involved in:

• Business Development of the warrant and certificates markets of Borsa Italiana;
• Monitoring of the regulatory changes that involve the market ecosystem;
• Management of reports, update of website contents;
• Monitoring the primary and secondary market trends for securitised derivatives products to help management decisions and business development strategy;
• Clients relationship management to capture the clients needs and build up the best services.

Key Responsibilities

The candidate will be responsible for:

• Management of reports, update of website contents;
• Monitoring the secondary market trends for securitised derivatives products to help management decisions and business development strategy;

Candidate Profile

The ideal candidate has:

• Degree in Economics, Finance, Banking and Finance, Economics of Markets and Financial Intermediaries, Statistics;
• Good knowledge of English (both written and spoken);
• Experience at using different types of tools and software, in particular Microsoft Office (Excel advanced and Power Point);
• Analytical skills;
• Basic knowledge of statistics;
• Team working, Research skills, deadlines respect.

Borsa Italiana SpA, the company responsible for the organization and management of Italian financial markets and now part of the Euronext Group, provides an internship opportunity within the Press Office Italy Team as:

Key Responsibilities

• The resource will support the team in activities like:
• Media relations management in order to share Corporate and Market information
• Writing and sharing press release and web content
• Day by day monitoring of newswires, web articles and newspapers news
• Daily press review
• Social media channels update and monitoring
• Media Mailing update
• Organization of the Group Press Conferences

Candidate Profile

The ideal candidate has:

• Master Degree in Communication or Foreign Languages or Literature or Economics;
• Interest in Media Relations and financial field;
• Fluency in both spoken and written English;
• Knowledge of Microsoft Office Package;
• Knowledge of social media analytics;
• Knowledge of the main communication’s theories and techniques.

Prospective and retrospective monitoring of compliance with rules and with national and European law and applicable regulation
• Monitor, alert, prevent and detect market manipulations accordingly to the compliance policy the defined process
• Prospective and retrospective monitoring of compliance with rules and with national and European law and applicable regulation (detect exceptions, unfair or unusual trading patterns, manage alerts and enforce the rules, investigation and reporting of suspicious market abuse and AML situations to the competent authorities)
• Liaison with Authorities with reference to STOR, AML and special market situations
• Real time and ex post monitoring of liquidity provision obligations
• Development and maintenance of algorithms and tools for pattern detection and market management - including BOT and other computer aided market control actions


Your profile
• Advanced knowledge of trading venues rule books, trading system parameters and technical mechanisms
• Detailed knowledge of applicable European regulation (MiFIR, MiFID, MAR) and respective application to trading venues
• Strong analytical and organization skills
• Good verbal and written communication skills
• Proven team leadership and management skills

ment skills

Key accountabilities


• Prospective and retrospective monitoring of compliance with rules and with national and European law and applicable regulation
• Monitor, alert, prevent and detect market manipulations accordingly to the compliance policy the defined process
• Prospective and retrospective monitoring of compliance with rules and with national and European law and applicable regulation (detect exceptions, unfair or unusual trading patterns, manage alerts and enforce the rules, investigation and reporting of suspicious market abuse and AML situations to the competent authorities)
• Liaison with Authorities with reference to STOR, AML and special market situations
• Real time and ex post monitoring of liquidity provision obligations
• Development and maintenance of algorithms and tools for pattern detection and market management - including BOT and other computer aided market control actions


Your profile
• Advanced knowledge of trading venues rule books, trading system parameters and technical mechanisms
• Detailed knowledge of applicable European regulation (MiFIR, MiFID, MAR) and respective application to trading venues
• Strong analytical and organization skills
• Good verbal and written communication skills
• Proven team leadership and management skills

Euronext is seeking a talented Senior Data Engineer with expertise in AWS and a strong background in solution architecture, database management, and data engineering. The ideal candidate will have extensive experience with AWS services such as Lambda, Glue, Step Functions, and CloudFormation, along with proficiency in Python, SQL, and database technologies. Experience with Iceberg tables for managing large datasets is highly desirable.

As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data solutions on the AWS cloud platform. You will collaborate with cross-functional teams to develop robust data pipelines, ETL processes, and orchestration workflows, leveraging tools like Apache Airflow and AWS Step Functions. Strong production awareness and troubleshooting skills are essential, along with the ability to provide technical leadership, mentorship, and guidance to junior team members.

Key Accountabilities

The Senior Data Analyst/Engineer will be assigned to one or more projects and might change projects when higher priorities are identified. When the Senior Data Engineer has acquired sufficient experience, it can be exposed to support activity of production systems, namely being on call for support.

Design and Implement AWS Solutions:

• Utilize expert knowledge of AWS services such as Lambda, Glue, Step Functions, and others to design, implement, and maintain scalable and efficient data solutions on the cloud platform

​​Solution Architecture and Cloud Infrastructure:

• Develop robust solution architectures and cloud infrastructure designs, considering factors such as scalability, performance, security, and cost optimization.
• Demonstrate proficiency in cloud networking, including VPCs, subnets, security groups, and routing tables, to ensure secure and reliable data transmission.

Data Engineering and Database Management:

• Data Modeling: Designing efficient data models for optimal query performance.
• SQL Proficiency: Writing and optimizing SQL queries.
• Performance Tuning: Identifying and optimizing performance bottlenecks.
• ETL and Data Integration: Extracting, transforming, and loading data into Redshift, mysql, Postgresql.
• Cluster Management: Provisioning, scaling, and monitoring Redshift clusters.
• Security and Compliance: Implementing security measures and ensuring compliance.
• AWS Integration: Integrating Redshift with other AWS services.
• Monitoring and Troubleshooting: Monitoring cluster performance and resolving issues.
• Documentation and Training: Creating documentation and providing training to team members.
• Logging and Tracing: Proficiency in setting up and managing logging and tracing mechanisms in AWS, including leveraging services like AWS CloudTrail for auditing API calls and AWS X-Ray for distributed tracing and performance analysis. Understanding of best practices for logging configuration, log aggregation, and analysis to ensure visibility into system activity and troubleshooting capabilities.

Orchestration and Workflow Management:

• Implement orchestration solutions using tools like Apache Airflow and AWS Step Functions to automate and manage data workflows effectively.
• Utilize Athena for interactive query analysis and exploration of large datasets stored in Amazon S3.

Technical Leadership and Solution Documentation:

• Provide technical leadership and guidance to the team, acting as a subject matter expert in AWS and data engineering technologies. Write comprehensive solution documents and technical documentation to communicate architecture designs, data workflows, and best practices effectively.

Proactive Production Awareness and Troubleshooting:

• Demonstrate production awareness by proactively monitoring system health, automating checks, and anticipating potential issues to ensure smooth operation of data solutions.
• Utilize strong troubleshooting skills to identify and resolve issues promptly, minimizing downtime and impact on business operations.

Continuous Improvement and Innovation:

• Stay updated on emerging technologies and industry trends, continuously evaluating and incorporating new tools and techniques to enhance data engineering processes and infrastructure.
• Take a proactive approach to challenge business requirements and propose innovative solutions to improve efficiency, scalability, and performance.

Profile and Skills

Education and Knowledge

• BS/MS degree in Computer Science, Engineering or equivalent working experience
• English (B2 or higher level)

Euronext is looking at the following profile:

Profile & Skills:

• Expertise in AWS: Extensive experience with AWS services, particularly Lambda, Glue, StepFunctions, CloudFormation, CloudWatch, and others.
• Strong Solution Architecture Knowledge: Ability to design scalable and efficient data solutions onAWS, considering best practices for cloud architecture and infrastructure.
• Proficiency in Python and Databases: Strong programming skills in Python and experience with relational databases (MySQL, PostgreSQL, RedShift) and NoSQL databases.
• Orchestration and Workflow Management: Experience with orchestration tools such as Apache Airflow and AWS Step Functions for automating and managing data workflows.
• ETL Tools and Big Data Experience: Knowledge of ETL tools and experience working with large volumes of data, with a preference for Kafka experience.
• Experience with Iceberg Tables: Familiarity with Iceberg tables for managing large datasets efficiently, ensuring data consistency, and supporting ACID transactions.
• Production Awareness and Troubleshooting: Proactive approach to production monitoring and troubleshooting, with the ability to anticipate and mitigate potential issues.
• Technical Leadership and Communication: Capable of evolving into a technical lead role, with excellent communication and teamwork skills to collaborate effectively with cross-functional teams.
• Strong Analytical and Problem-Solving Skills: Ability to analyze requirements, define technical approaches, and propose innovative solutions to complex problems.
• Documentation and Requirements Analysis: Experience in writing solution documents, technical documentation, and the ability to challenge and refine business requirements.

Nice to Have:

• Knowledge in Apache Flink, Kafka, and other big data technologies.
• Experience with cloud-native architectures and serverless computing.Certification in AWS or relevant technologies.

Key accountabilities • Implement in coding the most complex components in new functionalities • Design performance critical subsystems • Produce clear and accurate documentation relative to implemented code • Work with other teams on overall trading system design • Contribute to projects addressing challenging subjects linked to new functionalities Your profile • Proficient in designing and developing with C++ using templates • Other programming languages expertise like Java and Python are a plus • Sound understanding of Linux operating systems • Strong problem-solving and analytical skills • Experience leveraging modern technologies such as the following to help us design and build our future: Go, JavaScript, Scala, NodeJS, HTML5, Mobile Data Science, Machine Learning, Big Data, Streaming, Data Analytics Microservices, Cloud, Containers (e.g. Docker), Scalable Designs

Profile

Euronext is the leading pan-European exchange with a unique federal model, in a mission to accelerate innovation and sustainable development across Europe. From raising equity to traded products, issuer services to market data, Euronext addresses the needs of marketplaces, investors and companies, playing a crucial role in connecting European businesses to capital markets, fostering economic growth, and providing listing opportunities for companies of varying sizes.

Within the COO scope, the goal of the AI Tech Lab is to identify, prioritize and deliver innovative AI solutions, supporting business lines. 
Euronext is seeking a highly skilled and experienced Data Scientist with a minimum of 5 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture to build and lead the AI Tech Lab of the Group.
In this role you will be key role in leading the development and implementation of AI solutions, leveraging your technical expertise.
The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
Reporting to the Digital, Group Data and AI CTO, the ideal candidate will have a natural leadership, strong Data Science experience with a focus on Generative AI.
The selected candidate will be responsible for building and running the architecture, the team organization, the tooling, and the practices necessary to deliver innovative AI solutions to our Business Lines, leveraging modern data platforms and methodologies.

Key Accountabilities
 

The key accountabilities for this role are:

• Team Building and Leadership: Lead the recruitment and development of a talented and diverse team of Data Science and AI specialists. Cultivate a collaborative and innovative team culture that encourages knowledge sharing, continuous learning, and professional development.

• Strategic Planning and Execution: Develop and execute a comprehensive strategy for advancing the company's AI capabilities, with a specific focus on Generative AI applications. Collaborate with cross-functional teams to identify opportunities for leveraging AI and Data Science to drive business growth, enhance operational efficiency, and improve the customer experience.

• End to End delivery of Services: Ensure you and your team participates in the full lifecycle implementation of modern data platforms from requirements analysis, platform selection, technical architecture design, application design and development, till testing, and deployment, ensuring robustness, scalability, security and efficiency in data-driven decision-making processes.

• AI and Data Innovation: Champion the development of AI-driven solutions that are tailored to the preferences, behaviors, and needs of Gen AI. Collaborate with Business, Innovation and Product teams to integrate AI-focused features and functionalities into our IT service delivery, ensuring alignment with market demands and regulatory requirements. Oversee market watch activities to stay abreast of emerging trends, technologies, and best practices in data science and AI, ensuring that our platforms remain at the forefront of innovation.

• Business Growth and Acceleration: Partner with executive leadership to define key performance indicators (KPIs) and metrics for measuring the impact of AI and Data Science initiatives on business growth and market competitiveness. Contribute to the adoption and implementation of AI-driven solutions across various business functions, supporting the company's accelerated growth trajectory.

Knowledge, Skills and Experience Required

• Bachelor's or advanced degree in computer science, engineering, mathematics, or a related field.
• Minimum 5 years of experience in Data Science and Machine Learning
• In-depth knowledge of machine learning, deep learning, and generative AI techniques
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models
• Experience with cloud platforms such as Azure or AWS
• Knowledge in data engineering, including data curation, cleaning, and preprocessing
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels
• Track record of driving innovation and staying updated with the latest AI research and advancements
• Proven experience in leading AI teams, with a track record of successful project delivery and team management.
• Excellent leadership, communication, and interpersonal skills, with the ability to inspire and motivate team members and collaborate effectively with cross-functional stakeholders.
• Strategic thinker with a results-oriented mindset and a passion for driving business impact through technological innovation

Key accountabilities
• Manage existing groups of products as well as the development of new ones in line with the roadmap to achieve business priorities
• Oversee the development of a new product and/or service for a particular business area in close cooperation with internal project teams, finance, regulation, surveillance and other key stakeholders.
• Lead P&L-driven business case development, seeking the most profitable balance between client needs and internal cost control
• Develop business cases and the go-to-market strategies for products, compile and evaluate research on the market’s requirements, and identify enhancement to features and functionality.
• Interface with a broad range of stakeholders including engineers, designers, sales representatives, marketing teams, suppliers and customers
• Conduct competitor analysis for a particular product offering, functionality, pricing and market penetration to recommend improvements to enhance Euronext’s market position and to ensure we have accurate and up-to-date competitor intelligence and can properly manage any competitive risks
• Maintain and develop relationships with business development and client services, ensure we have an accurate and detailed understanding of our client needs and opportunities to increase market share
• Engage with internal IT and design working groups to develop in-depth technical design and application features.
• Assure the competitiveness of pricing structures, monitor the impact of pricing initiatives on clients, and ensure compliance with regulatory and legal requirements (Pricing team(s))

Your profile
• Experience in product management, business development or sales support role.
• Expert knowledge of Euronext’s market model, rule book, service offer, the buy-side and sell-side landscape.
• Knowledge of the full product development lifecycle.
• Strong commercial acumen and strategic awareness.
• Excellent written and oral presentation skills, an ability to combine attention to detail with the wider strategic view.
• Rigorous project management skills: ability to leverage internal and external relationships, autonomy and determination to drive forward projects, provide clear business input into functional requirements.
• Collaborative, open, pragmatic, customer oriented and numbers-driven approach to work.
• International business experience – developing products in multiple geographic locations

Euronext has more than 2000 employees located in 18 Countries, with core locations in Belgium, France, Ireland, Italy, the Netherlands, Portugal, Norway, Denmark, the UK and the US. Over the past years, Euronext has built the leading pan-European market infrastructure, through a combination of organic growth, the acquisitions of Nord Pool and VP Securities, and the transformational acquisition of the Borsa Italiana Group. Looking forward, Euronext intends to grow and leverage its scale for the benefit of its clients, team members, shareholders and stakeholders. Euronext’s mission is to connect European economies to global capital markets, to accelerate innovation and sustainable growth. The HR team in the group is composed by almost 40 talented HR professionals. We are looking for a Global HR systems officer to join the HR team and supports the entire Group.

Euronext Human Resources team closely supports the Euronext strategic plan, "Growth for Impact 2024" with the ambition to support the development of each Euronext employee by strengthening our diverse and multicultural teams and finding the right balance between strong performance focus, close client connectivity, positive climate impact and innovation.

In the context of strong growth and recent integrations, the HR team plays a key role in designing, deploying and running HR practices, projects and tools applicable across locations together with coordinating the Change Management for all stakeholders.

The Global HR systems officer is responsible to support all local HR and stakeholders across businesses, to proactively deliver HR system projects and to identify opportunities for the improvement of Euronext HR systems.
Acting on full Euronext scope across all businesses and countries and on all HR processes, reporting to the Head of Group HR Information System and being part of the Global HR Integration and Operation team.

You will join a diverse, international and agile team in charge of HR systems, projects and M&A at group level.

Located in our Porto office, you will be fully integrated into our dynamic HR Portuguese team. Porto office is one of our main IT center and in constant growth to meet with Euronext challenges.

In a glimpse: If you are an international profile, passionate about : HR, HRIS, Digital transformation, Project Management, Support, People Development, Process, Tools, Data & Reporting… let’s discuss !

As Global HR systems officer, some of the key accountabilities will be to:
- Support the global HR community on HR system (Workday)

• Provide support to the global and local HR teams in their Day-to-day activities and solve issues.
• Manage data control in the different HR systems: ensure data quality, design and analyze KPIs and reports and ensure regular control. Monitor data quality and its improvement Support users in data quality control and improvement.
• Train HR users on HR Information systems create and deliver training materials and facilitate sessions

- Contribute to HR systems users community facilitation

• Contribute to HR System projects
• Participate in integration of new companies in ENX HR processes and systems
• Collaborate with Euronext stakeholders : IT team, other businesses such as Finance, procurement, integrators to develop and improve HR Information System architecture and integration with other systems
• Understand and challenge users’ business needs. Identify the most effective ways to support them and implement solutions
• Monitor user requests and provide analysis and proposed action plans: involve them in design / testing / validation steps.
• Lead the testing process: definition, preparation and management of the different tests phases with the integrator and the users

- Ensure operational excellence and continuous improvement

• Contribute and facilitate improvement of HR processes: recruitment, Job requisition review, performance process, training management, Talent, remuneration campaign ..
• propose, design and implement reporting and dashboard to improve data quality and monitor HR processes.
• Contribute to evolutions of the HR Systems to simplify/ease user-experience/improve practices
• Contribute to HR System improvement design and planning with the integrator and to monitor progress

Your profile

• 3-5 years’ experience with HR system project and run management, system administration
• Knowledge or experience of HRIS tools, Workday will be a plus
• Genuine interest in systems.
• Rigorous, organized and dynamic. Results and deadline driven.
• Project management skills.
• Client-service orientated, with attention to detail and ability to prioritize and work well in an environment with competing demands.
• Strong interpersonal skills : listening, communication, proactivity, initiative, ability to collaborate and ability to manage stakeholders at different levels.
• Excellent command of English and native in one of Euronext local language (French, Portuguese, Dutch, ...)
• Good communication skills, both written and oral.