Job Location: New York, NY
Job Detail:
Role Summary
- 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 and platform development
- Develop custom data models and AI algorithms to apply to data sets
- Undertake preprocessing of structured and unstructured data
- Present information using data visualization techniques
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Collaborate with engineering and product development teams
- Coordinate with different functional teams to implement models and monitor outcomes.
Experience
- Experience using statistical computer languages (Python, SLQ) to manipulate data, draw insights from large data sets and querying databases
- Experience working with and creating data architectures
- Experience creating and using advanced machine/deep learning and AI algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
Education and Knowledge
- Top University Master or Engineering Schools
- Graduate degree in Applied Math/ Statistics/Data Science or other quantitative fields is preferred
Profile and Skills
- Strong problem-solving & math skills with an emphasis on practical implementations
- A drive to learn and master new technologies and techniques
- 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 remain committed to providing a positive hiring and onboarding experience for our candidates during these unprecedented times. Where our offices can open safely, they will remain open; otherwise our employees are able to work efficiently from home. The well-being of our employees, their families, our external partners and visitors is our upmost priority and we are closely following Government guidance in all our locations to ensure all health and safety guidance are met.
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.
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