After years working on institutional trading, market connectivity and real-time risk technology, Lev Yatsemyrskyi has increasingly focused on another infrastructure challenge facing financial ...

Risk models at Credit Suisse had flagged the dangers before their $5.5 billion Archegos loss. Silicon Valley Bank's risk metrics showed clear warnings before their collapse. In both cases, ...

Risk engineering applies quantitative and qualitative methods to identify, analyse and mitigate hazards across technical and socio-technical systems. Core approaches include probabilistic risk ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Traditional cybersecurity measures are increasingly inadequate against sophisticated threats in the rapidly evolving digital security landscape. Artificial intelligence (AI) has emerged as a ...

As experience pathways shrink and judgment becomes more critical, engineering organizations must rethink how to develop future engineers, or risk a capability gap they can't easily repair. The debate ...