QDC: The Future of Python, C++, and kdb+/q in the Era of ChatGPT

About:

Which programming languages should you learn now? As artificial intelligence continues to reshape the software landscape, the roles of established programming languages are being redefined. This talk explores the evolving relationship between Python, C++, and kdb+/q in the context of large language models like ChatGPT. We examine how AI-assisted development is changing the way engineers write, debug, and optimize code across domains—from high-performance computing and real-time systems to data analysis and algorithmic trading. Python’s flexibility and AI-native ecosystem, C++’s unmatched control and performance, and kdb+/q’s dominance in time-series data all face new challenges and opportunities in an era of conversational coding. The session provides practical insights into how developers can leverage AI tools to amplify productivity, bridge language paradigms, and future-proof their technology stack.

The Quantitative Developer Certificate (QDC): A High-Calibre Programme – Without the High Price Tag

The QDC delivers:
✅ Practical, job-focused training in quant development
✅ Hands-on coding projects in Python and C++
✅ Live instruction from seasoned quant and risk professionals
✅ Access to recordings, materials, and a vibrant learning community
✅ Flexible Payments: Start learning today – Pay in 3 separate Instalments.

All in six months—with the flexibility of online learning, designed for full-time professionals. Unlike expensive master’s programs or bootcamps that offer generic tech skills, the QDC targets the high-value niche of financial engineering and quant dev roles that are in demand across investment banks, hedge funds, fintechs, and asset managers.

https://www.wbstraining.com/events/quantitative-developer-certificate/

Presenter:

Paul A. Bilokon is CEO and Founder of Thalesians Ltd. He has previously served as Director at Deutsche Bank, where he ran the global credit and core quant teams, part of Markets Electronic Trading (MET) group. He is one of the pioneers of electronic trading in credit, including indices, single names, and cash, and has worked in e-trading, derivatives pricing, and quantitative finance at bulge bracket institutions, including Morgan Stanley, Lehman Brothers, Nomura, and Citigroup. His more than a decade-long career spans many asset classes: equities, FX spot and options, rates and credit.

Paul has graduated from Christ Church, Oxford, with a distinction, and twice from Imperial College London. The domain-theoretic framework for continuous-time stochastic processes, developed with Prof. Abbas Edalat, earned him a PhD degree and a prestigious LICS paper. Paul's other academic interests include stochastic filtering and machine learning. He is an expert developer in C++, Java, Python, and kdb+/q, with a special interest in high performance scientific computing.
His interests in philosophy and finance led him to formulate the vision for and found Thalesians, a consultancy and think tank of dedicated professionals working in quant finance, economics, mathematics, physics and computer science, the focal point of a community with over 2,500 members worldwide. Thalesians was co-founded with two of Paul's friends and colleagues, Saeed Amen and Matthew Dixon.

Dr. Bilokon is a winner of several academic prizes and awards; a Member of the British Computer Society, Institution of Engineering and Technology, and European Complex Systems Society; Associate of the Securities and Investment Institute, and Royal College of Science; and a frequent speaker at premier conferences such as Global Derivatives, alphascope, LICS, and Domains.