Xiaoyan M

Danu Robotics is an international deep-tech company building embodied AI systems for industrial environments, starting with hazardous and complex waste sorting. Our technology combines physical AI and real-world learning to enable machines to perceive, act, and continuously improve in unstructured environments forming the foundation of a digital automation platform for the circular economy. We are a revenue-generating business with operations in both the UK and the US (at HAX, SOSV). At Danu Robotics, we believe embodied AI will unlock both economic value and environmental impact, transforming material recovery into a scalable and intelligent system.

Working with data scientists and data engineers to develop scalable and sustainable IT infrastructure. Leading a number of software engineering teams developing analytic tools using the latest technology for Group to capture and measure both financial and non-financial risks. Experimenting with a variety of data science tools, selecting the most suited solution for data science projects while compliance with data security requirements. Providing training to a wide range of audience.

• Lead market and credit risk analyses of Group trading and wholesales credit activities, including: analyses of market risk, counterparty credit risk, and liquidity risk of Group's trading portfolio. • Lead the development of the quantitative risk models for conducting Stress Testing on Group’s trading portfolio under varies economic scenarios. • Provide methodology and technical support to software development team for implementing new analytical solution. • Transform high level macro-economic and market events into relevant stress scenarios for practical risk mitigation implementation and enterprise-wide stress testing. • Provide directions to regions so that 1, stress testing is used appropriately by risk managers, 2, vulnerabilities in the traded portfolio are well understood and 3, stress results are factored into risk appetite and risk mitigation decisions. • Communicating with executive managers and regional senior risk managers to continuously improve Group’s risk management practice.

Managed market risk and credit risk of the trading portfolio. Developed analytic tools to effectively and efficiently capture, measure and analysis market risk and counterparty credit risk. Directed IT team to automate manual data processing process within the varies business areas and functions.