Business Quantitative Analyst
Paris
Euronext
Euronext is the pan-European stock exchange and market infrastructure, connecting European economies to global capital markets to accelerate innovation and sustainable growth.Key accountabilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Identify valuable data sources and automate collection processes.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Mine and analyze data from company databases and date sets to drive optimization and improvement of product developments.
- Develop custom data models and algorithms to apply to data sets.
- Undertake preprocessing of structured and unstructured data.
- Collaborate with engineering and product development teams to implement models and monitor outcomes.
- Participate in the design of the fee schemes for cash equity and listed derivatives clearing leveraging on data analysis.
The key accountabilities only describe the main activities and is not exhaustive. It evolves depending on the expertise level and ongoing projects.
Your profile
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data, draw insights from large data sets, querying databases and creating data architectures.
- Experience creating and using advanced algorithms and statistics.
- Strong problem-solving & math skills with an emphasis on practical implementations. Graduated from an engineering school or a university with mathematics specialties.
- Deep understanding of market finance risks.
- A drive to learn and master new technologies and techniques.
- Interest in automated testing and continuous integration.
- Comfortable in fast-paced, dynamic environment.
- Excellent communication and collaboration skills.
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 to add more tasks, projects.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data analysis Engineering Finance Mathematics Python R Statistics Testing Unstructured data
Perks/benefits: Transparency
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