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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

Job Description Summary

The Software Developer/QA Engineer - Trainee is part of the Information Technology job family providing end-to-end technology across Euronext business.

Information Technology has a core responsibility for developing, supporting  and protecting the key trading applications, but also for managing Data Center and protecting Euronext systems from cyber-attacks and data theft.

Purpose of the Role

We are currently seeking to recruit an intern Software Developer/QA Engineer on Euronext Corporate Functions QA Team.

This is a great opportunity to gain professional experience and develop skills in .NET and .NET Core enterprise development, MVC/REST/WebAPI/Azure Services/Azure Funtions/ in an Agile Scrum Team.

The candidate will be working on high availability multi-tier platforms built on top of MS Dynamics 365, SharePoint Online and Azure Services using the latest .Net patterns and practices.

This role will play a part in developing and execute exploratory and automated tests to ensure product quality (taking leverage of our Selenium (JAVA) framework, Cypress, K6, Moq)

The Euronext Corporate Functions applications/platforms are open services architecture leveraging:

.NET / C#

SharePoint Online

D365

Azure Services/Functions

Components

• Simple Injector

• NHibernate

• MVC/REST/WebAPI/React

• VS/Azure DevOps

Corporate Functions delivers/support Enterprise applications for the entire Euronext group.

The candidate responsibilities include designing and implementing tests, debugging and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)

The QA technician role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets business needs. If you enjoy providing end-to-end solutions to software quality problems, we’d like to meet you.

Key Responsibilities

• BS/MS degree in IT-related fields; - IEFP Level VI

• Create detailed, comprehensive and well-structured test plans and test cases;

• Estimate, prioritize, plan and coordinate testing activities;

• Design, develop and execute automation scripts using MS Test features and Selenium in JAVA, Cypress and K6;

• Perform thorough regression testing when bugs are resolved:

• Work in a structured managed SDLC environment;

• Liaise with internal teams (e.g. developers and business analysts) to identify system requirements;

• Monitor debugging process results;

• Investigate the causes of non-conforming software and train users to implement solutions;

• Track quality assurance metrics, like defect densities and open defect counts.

Person Specification

Required

• Attention to detail;

• Fluent in English;

• Good communicator.

Euronext’s purpose is to shape capital markets for future generations. As such, Euronext has a special position in the financial ecosystem. It serves the real economy by bringing together buyers and sellers in transparent, efficient and reliable trading venues. In this key role, Euronext has a responsibility to the whole finance community, not only to ensure financial stability, but to contribute decisively to a sustainable growth model in the countries in which it operates. A central element of Euronext work is engaging with its customers, European and local public  authorities, and policymakers, to help shape the regulatory and policy issues that impact the financial sector and empower sustainable finance. 

 

Euronext is the leading pan-European market infrastructure, connecting European economies to global capital markets, to accelerate innovation and sustainable growth. It operates regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway and Portugal.  

With close to 2,000 listed issuers and around €6.6 trillion in market capitalisation as of end March 2022, it has an unmatched blue chip franchise and a strong diverse domestic and international client base.  

Euronext operates regulated and transparent equity and derivatives markets, one of Europe’s leading electronic fixed income trading markets and is the largest centre for debt and funds listings in the world. Its total product offering includes Equities, FX, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. The Group provides a multi-asset clearing house through Euronext Clearing, and custody and settlement services through Euronext Securities central securities depositories in Denmark, Italy, Norway and Portugal.  

Euronext also leverages its expertise in running markets by providing technology and managed services to third parties. In addition to its main regulated market, it also operates a number of junior markets, simplifying access to listing for SMEs.

 

Key Accountabilities

• Assist in the creation of client and business development analysis and sales reporting
• Participate in a variety of day-to-day sales and promoting activities, including as events, roadshows, one-on-one meetings, and marketing plan design and implementation
• Contribute in CRM projects in partnership with the CRM team.
• Assist in the coordination of internal sales meetings and quant service meetings
• Flurent in English and French
• Knowledge of and/or experience in financial market and sales is a plus

Your profile
• Experience in a business development or sales support role.
• Strong commercial acumen and strategic awareness, strong ability in negotiations and persuasion.
• Excellent written and oral presentation skills, an ability to combine attention to detail with the wider strategic view.
• Collaborative, open, pragmatic, customer oriented and numbers-driven approach to work.
 

Your key accountabilities

• Responsible for the complete definition of business requirements on all services related to risk management.
• Responsible for the definition of the complete product backlog and functional roadmap on risk management services for the clearing of Euronext markets.
• Accountability for the set of requirements defined, their completeness with regards to the clients’ needs before the launch of the project is a key factor success for the product conception and launch.
• Work closely with the other members of the business and value design team, risk management team, as well as internal and external stakeholders.
• Responsible for the validation of the QA reports after developments of the business functions identified by the PO.

The key accountabilities only describe the main activities and are not intended to be exhaustive. It evolves depending on the expertise level and ongoing projects.

Your profile

Experience:

• 10 years of experience in the relevant financial market discipline is required as the PO needs to have strong expertise to deliver on his/her tasks;
• Past experience in an European CCP is a plus; and
• Experience with the agile project management methodology is a plus.

Profile and Skills:

• Excellent interpersonal skills – working with teams from various locations and departments, and interacting with varying levels of seniority across the organization;
• Excellent oral and written communication and influencing skills, capable of interacting effectively with business product and operation experts as well as with executive level management;
• Excellent communication and presentation skills;
• Strong knowledge of the clearing and physical settlement set-ups and functions across Europe on commodities derivatives;
• Proactive and driven;
• Strong leadership;
• Excellent organizational and time management skills; and
• Mastering of English as a working language is a must.

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.

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