Chief Science Officer

Chief Science Officer

The Prosperity Co-Creation Corporation 

Removing Uncertainty to the Benefit of Everyone

 

The Prosperity Co-Creation Corporation integrates public and private institutions and their communities into a regenerative market ecosystem, reducing the uncertainty of long-term investments, which benefits everyone. We provide insight into capital governance by quantifying market well-being. This innovative approach ensures that all market subscribers benefit from enhanced decision-making capabilities, enhancing the size and health of the market and improving societal impact.

Historical Context 

Since the mid-20th century, people have seen significant wealth accumulation and improved quality of life, particularly in areas like increased life expectancy, higher disposable income, and broader technological access—the “prosperity dividend.” 

 

However, this has led to a global speculation economy estimated at $1.5 quadrillion and a meager international return of $100 trillion in Gross Domestic Product (GDP). This model is not sustainable as McKinsey projects an average of an 8-12% return on corporate capital and rising risks of worker displacement. Speculation has also led to an increasing de-globalization movement, environmental disasters, and social discontent. 

Our Story

Inspired by Dr. William Edward Deming’s System of Profound Knowledge, Greg Reynolds, Founder and CEO of the Prosperity Co-Creation Corporation and Chairman of the Consortium, sought to address the challenges of cooperation and the barriers to scalable community and individual purpose. 

 

Deming stated, “We must restore the individual and do so in the complexities of interaction with the rest of the world. The transformation will release the power of human resources contained in intrinsic motivation. In place of competition … there will be cooperation on problems of common interest between people, divisions, companies, institutions, and governments. The result will, in time, be greater innovation, applied science, technology, expansion of the market, greater service, the greater material reward for everyone. There will be joy in work, joy in learning … Everyone will win; no losers.” 

 

This laid the foundation for the market and consortium, which addresses the complexity of governing a long-term capital market to regenerate our planetary systems.  

 

Our Mission              

We optimize market action that regenerates natural and social resources and fuels society.  

 

Our Vision                  

We envision a regenerative world powered by technologies and insights providing more equitable prosperity.   

 

The Role: Chief Science Officer (CSO)

Reports to: Chief Executive Officer (CEO)

Summary:

The Chief Science Officer (CSO) is a critical leadership role responsible for driving innovation and developing cutting-edge scientific and technological solutions that underpin the company’s economic products and services. This role requires a deep understanding of relevant scientific disciplines (e.g., mathematics, statistics, econometrics, computer science, AI/ML) and a strong business acumen to translate research into practical, market-ready solutions. The CSO will lead a team of scientists, researchers, and engineers, fostering a culture of scientific excellence and collaboration.

Responsibilities:

  • Research & Development Leadership:Oversee the company’s research and development efforts, focusing on creating innovative economic models, algorithms, and technologies that enhance existing products and drive the development of new ones.
  • Scientific Vision & Strategy:Develop and articulate a clear scientific vision and strategy aligned with the company’s overall business objectives. Identify emerging scientific trends and technologies that could impact the industry and the company’s future.
  • Team Leadership & Mentorship:Build and lead a high-performing team of scientists, researchers, and engineers. Provide mentorship, guidance, and professional development opportunities to team members.
  • Model Development & Validation:Oversee the development, validation, and implementation of complex economic models, statistical analyses, and machine learning algorithms. Ensure the accuracy, reliability, and robustness of these models.
  • Data Science & Analytics:Champion the use of data science and analytics to drive insights, inform decision-making, and improve product performance.
  • Technology Evaluation & Adoption:Evaluate and recommend the adoption of new technologies and scientific methodologies that can enhance the company’s products and services.
  • Collaboration & Partnerships:Foster collaborations with academic institutions, research organizations, and other external partners to stay at the forefront of scientific advancements.
  • Intellectual Property:Oversee the protection of the company’s intellectual property related to scientific discoveries and technological innovations.
  • Communication & Advocacy:Effectively communicate complex scientific concepts to both technical and non-technical audiences, including senior management, investors, and clients. Represent the company at scientific conferences and industry events.
  • Regulatory Compliance:Ensure that all scientific and technological activities comply with relevant regulations and ethical standards.

Qualifications:

  • D. in a relevant scientific discipline (e.g., Mathematics, Statistics, Econometrics, Computer Science, Physics, Operations Research) or equivalent experience.
  • Extensive experience (10+ years) in research and development, preferably in a financial services, fintech, or related industry.
  • Proven track record of leading and managing scientific teams.
  • Deep understanding of relevant scientific methodologies, including statistical modeling, machine learning, and data analysis.
  • Strong business acumen and ability to translate scientific research into practical business solutions.
  • Excellent communication, presentation, and interpersonal skills.
  • Experience with regulatory compliance and intellectual property protection.

Preferred Qualifications:

  • Experience in a specific area relevant to the company’s products (e.g., algorithmic trading, risk management, portfolio optimization, behavioral economics).
  • Experience with cloud computing and big data technologies.
  • Publications in peer-reviewed scientific journals.