What are the responsibilities and job description for the Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) position at AiLifePay Inc.?
Equity: 11% (Base) 4% (Bonus); Vesting over 4 years
Co-Founder Position! Strong interest to Build Fintech
At AiLifePay Inc., you will become part of a quantum equilibrium driven ailifescore credit scoring company. "Al-Life Score" algorithm is our newest innovation in financial services and driver of wealth creation. AI-Life Score utilizes a researched quantum analysis model to detect evolving arbitrage data in personal finance and wealth management. Our purpose is to provide lending and credit services, fraud detection and decision underwriting, quantum-driven risk analytics in an upcoming high-tech sector of Quantum Equilibrium Finance.
As Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) you will play a pivotal role in the development and commercialization of our technologies, seed new industries built on the capabilities of a wide range of deep technology, and build a sustainable knowledge ecosystem. We are collaborative and entrepreneurial, and committed to build new products to unlock innovation through cross-domain thinking to support our potential customers. You will develop the next generation of regenerative business models and lead optimization workflows and services with our customers while integrating with the firm's future technology partners. As Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) you will have a chance to explore your leadership capability, and apply your analytical and technical skills in financial computing, and work with passionate and highly technical team.
Your Responsibilities:
- Understanding of financial engineering and challenges to turn data into action, and trends to identify risks and opportunities.
- Design of strategy and roadmap, develop insights to set and prioritize goals.
- R&D of a model governance and model performance framework for the credit risks and investments models, Define Metrics for performance.
- Creating libraries and frameworks that underpin reliable and testable systems
- Machine learning for quantum control, forming intelligence layer of the quantum stack
- Deep learning for pattern recognition and feature extraction supporting automated decision-making in quantum device workflows.
- Manage business development roadmaps, innovation, marketing and Bl tools instrumental to companies’ success
Minimum Qualifications:
- PhD degree in Computer Science, ECE, AI, Data Science, or related technical fields with strong entrepreneurial desire in quantum technology.
- Experience with data mining, data analytics, data modeling, quantitative analysis, statistical modeling, machine learning, large-scale transformer models.
- Design of strategy and roadmap, solve problems including time series forecasting, clustering problems with a range of statistical and machine learning.
Preferred Qualifications:
- Interest in software development for quantitative investment workflows in credit and risk modeling, financial intelligence.
- Proven experience working in industry, working on multiple projects, working on projects from proof-of-concept implementation.
