About QPIAI India Pvt. Ltd.
QPIAI India Pvt. Ltd. is a next-generation technology company focused on Artificial Intelligence, Quantum Computing, and advanced IT innovation. At QPIAI, we believe that great ideas grow in the right environment. Our culture is built on flexibility, collaboration, and continuous learning, supported by a strong commitment to employee well-being and work–life balance. We provide a workplace that encourages creativity, fosters professional growth, and empowers people to take ownership of impactful projects.
We are proud to be a company where innovation meets opportunity—where passionate professionals come together to solve complex challenges and shape the future of technology.
If you are driven by curiosity, inspired by cutting-edge technologies, and eager to contribute to a global tech journey, QPIAI is the place to grow, lead, and make a meaningful impact.
Job Summary
We are seeking an experienced and visionary leader to head our Quantum Finance initiatives. You will act as the critical bridge between deep domain expertise in financial mathematics, quantitative modeling, and quantum algorithm design. In this role, you will build and lead a world-class team of researchers, partnering with business units to identify high-value computational challenges where provable quantum advantage can be realized.
Key Responsibilities
Strategic Leadership : Define and execute the corporate research agenda in quantum computing applied to financial services, such as stochastic risk analysis, asset allocation, and algorithmic trading.
Team Building & Management : Recruit, mentor, and lead a high-performing team of quantitative researchers, quantum theorists, and software engineers.
Algorithm Development & Testing: Oversee the development of novel quantum algorithms using industry-standard frameworks and collaborate with quantum hardware partners to execute pilots.
Business Integration: Partner with lines of business to formalize complex financial problems and transition quantum research into scalable commercial capabilities.
Ecosystem Engagement: Shape external partnerships with universities, industry consortia, and regulatory bodies while serving as a scientific advisor to executive leadership.
Qualifications
Education: Ph. D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or a highly related discipline.
Experience: 10+ years of experience in quantitative research, computational finance, or applied quantum computing, including a proven track record of cross-functional leadership.
Technical Expertise: Deep understanding of quantum information science, optimization, and quantum programming frameworks
Domain Knowledge: Strong grasp of financial modeling, numerical methods, stochastic calculus, and high-performance computing (HPC).
Communication: Exceptional ability to translate highly technical scientific concepts into strategic business initiatives for executive and non-technical stakeholders.