Key Accountabilities

• Lead and manage a team of data scientists focused on optimizing the performance of our FX-ECN platform, providing guidance, mentorship, and support to drive excellence in research initiatives.
• Collaborate closely with developers, liquidity managers, product managers and other stakeholders to develop and implement quantitative models and algorithms to analyze market data, optimize liquidity management and identify opportunities for new ECN features.
• Conduct research on market microstructure, liquidity dynamics, and other factors influencing order flow and execution quality in electronic markets, leveraging both historical data and real-time market information.
• Stay abreast of industry developments, regulatory changes, and technological advancements in electronic trading and quantitative research, and incorporate relevant insights into our research processes.
• Communicate research findings, methodologies, and recommendations to key stakeholders, including management and clients. Ensure compliance with regulatory requirements and best practices in electronic trading and quantitative research.
• Maintain and develop a strong link between the Market-data team and the Production team so that the underlying data fit the needs of quant research, and so that quant outputs are available to users.

Knowledge, Skills and Experience Required

Experience

• Proven track record of success in quantitative research in electronic markets (experience in FX will be highly considered), with a minimum of 2 years of experience in a similar role.

Education

• Advanced degree (Ph.D. preferred) in a quantitative field such as mathematics, statistics or finance, with a focus on financial markets and electronic trading.

Skills

• Deep understanding of market microstructure, order flow dynamics, and execution quality metrics in electronic trading environments.
• Strong proficiency in programming languages such as Python, experience with large Database and SQL.
• Extensive knowledge of quantitative research methodologies, including statistical modeling, machine learning, and algorithmic trading strategies.
• Excellent leadership and interpersonal skills, with the ability to inspire and motivate team members to achieve their full potential.
• Exceptional analytical and problem-solving abilities, with a keen attention to detail and a commitment to delivering high-quality results.
• Effective communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.
• Experience working in electronic trading, quantitative research, or related fields within the financial services industry is a plus.

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.