Chief Technology Officer

Aix-en-Provence, France

About this role:

ALPHA10X is the AI leader in private markets investments. Our Nostradamus platform analyzes data at scale to shape the knowledge and foresight that generate alpha and impact. The company is a well-funded growth stage startup and aspiring unicorn, rapidly expanding our revenue, customer base, and market presence, while scaling operations, enhancing products, and securing additional funding to further accelerate development. Our team includes prominent business leaders, investors, scholars, and data scientists.

As CTO, reporting to the Chief Scientist, you'll lead our global R&D efforts. Your mission is to drive innovation and execution and ensure our AI is state-of-the-art. You will work closely with our data science, development, product, and customer-facing teams to design and implement cutting-edge solutions that deliver real business value.

This role requires a deep understanding of AI, machine learning, knowledge graph, and predictive analytics, coupled with the ability to lead a team of data scientists and software engineers in multiple R&D centers. You must excel in designing, building, optimizing, and utilizing Knowledge Graphs and their ontologies, as these are essential for addressing complex, open-ended challenges in private market investment.

Your technical expertise, visionary mindset, and ability to confidently communicate complex concepts to C-level audiences will be key to driving our technology strategy and product evolution.

No two days are the same, but you can expect to:

  • Lead the AI research and development initiatives.
  • Collaborate with product and engineering teams to design and implement innovative solutions.
  • Mentor and guide a team of data scientists and software engineers, fostering a culture of innovation and excellence.
  • Stay abreast of the latest advancements in AI, machine learning, and predictive analytics to inform our technology strategy.
  • Evangelize our AI and data science achievements and identify new opportunities for innovation.
  • Drive technical communications with internal and external stakeholders, including universities, research publications, conference presentations, and customer interactions.

Key responsibilities:

  • Technical Leadership: Define and drive the technology roadmap, ensuring scalability, reliability, and security of the platform. Oversee AI integration with financial products to meet business goals.
  • Research & Development: Lead AI R&D efforts, working closely with the Chief Scientist to innovate and integrate the latest advancements in machine learning, knowledge graphs, and predictive analytics into fintech solutions.
  • Team Management: Build and lead a high-performing team of engineers, data scientists, and AI/ML specialists across multiple R&D centers, fostering a culture of innovation and excellence.
  • Product Development: Spearhead the design, development, and deployment of AI-based fintech solutions, collaborating with product and customer-facing teams to drive value.
  • Architecture & Infrastructure: Develop scalable technical architecture, optimizing and leveraging semantic web technologies, machine learning with graph data, and cloud-based systems such as Azure and Databricks.
  • Collaboration: Work closely with the CEO, Chief Scientist, and other executive leadership to align technology with business goals. Participate in technical communications with external stakeholders, including universities and research institutions.
  • Risk & Compliance: Ensure that the company's technology infrastructure adheres to regulatory requirements and cybersecurity best practices.
  • Innovation & Strategy: Stay updated on emerging trends in AI and fintech, leading R&D initiatives to maintain a competitive edge in the market.

What we value:

  • Leadership and management skills (they are not the same).
  • Relationship-orientation and high EQ.
  • Low ego because the outcome matters more than who gets the credit.
  • Adaptive and introspective; willing to learn, guide, lead, and follow.
  • Unrelenting drive to push the boundaries of AI and data science.

What we are looking for:

  • Advanced degree, preferably PhD in a related field (e.g., AI, machine learning, data science, statistics, probability), from a prestigious university.
  • 10+ years of experience in AI, machine learning, and predictive analytics.
  • Deep experience in the financial services industry, asset management, investment banking, private equity, or venture capital.
  • Outstanding people leadership skills, with the ability to mentor and guide a team of data scientist and engineers.
  • Prior experience in strategy consulting (highly desirable).
  • Complex PMO (Project Management Office) experience, including managing multiple large-scale projects simultaneously.
  • Ontology engineering skills: design, develop, and manage ontologies to organize and structure data, ensuring effective data integration, interoperability, and reuse.
  • Semantic Web technologies skills: implement technologies like RDF, OWL, and SPARQL to enhance data connectivity, utilizing semantic web standards for data sharing and representation.
  • Machine learning with graph data skills: utilize machine learning techniques on graph-structured data, enhancing predictive models and analytical capabilities through graph-based learning.
  • Expertise in programming languages and library commonly used in AI and data science, e.g., Python or R, Tensorflow or Pytorch, Darts.
  • Working experience with large-scale data processing frameworks (e.g., Hadoop, Spark, MLFlow …).
  • Working experience with large-scale search engines and DBMS (e.g., Elasticsearch, SQL, Neo4j, CosmosDB).
  • Experience in Training and Monitoring AI, machine learning, and predictive analytics models on Azure and/or Databricks.
  • Experience in deployments of AI, machine learning, and predictive analytics production model on Azure and / or Databricks.
  • Ability to take responsibility, initiative, and use excellent comprehension skills to develop solutions to complex AI, machine learning, and predictive analytics problems quickly.
  • Excellent written and verbal English communication skills.
  • A strong bias for decisiveness, action, fail-fast, and the ability to work in a high-velocity, dynamic environment.

Why join us?

  • Innovation: Play a key role in advancing the capabilities of AI in fintech, working with some of the brightest minds in the industry.
  • Leadership: As part of the executive team, you will have a direct impact on the company's growth and strategic direction.
  • Growth Opportunities: Join a fast-paced, high-growth startup with significant equity participation and potential for personal and professional advancement.
  • Global Impact: Be part of a team that connects people, capital, and ideas to solve some of the world’s greatest challenges through AI-driven financial solutions.

To apply, please email: hr@alpha10x.com