5 of 5 Stress Testing Jobs in the South East

challenge of traded market risk across a range of asset classes and trading activities. Monitor, analyse and explain market-risk exposures, including VaR, stress testing, sensitivities, limit usage and P&L/risk movements. Support the review of derivative valuations, pricing inputs, risk factors, market data and model … Partner with Front Office, Product Control and Quantitative teams to investigate material P&L movements, valuation discrepancies, limit breaches and unusual risk exposures. Support stress-testing, scenario-analysis, risk-limit and risk-appetite processes across trading portfolios. Candidate profile You will ideally bring: Experience in Traded Market Risk ...

financial models covering revenue by division, headcount costs, and investment scenarios Preparing forward-looking scenario analysis to support strategic decisions, including sensitivity analysis and stress testing Business Partnering Supporting finance business partnering across LCP’s divisions — Actuarial, Investment, Health, Energy, and Insurance Translating financial data into clear commercial ...

eligible The Role As an AI Security Tester, you'll simulate real-world attacks to uncover vulnerabilities in AI/ML systems, from stress-testing model guardrails to identifying data privacy risks, ensuring secure and trustworthy AI deployments. What You'll Do Conduct adversarial testing to challenge … model safety and guardrails Perform penetration testing and fuzzing of AI systems Identify risks such as data poisoning, model evasion, hallucinations and bias Validate data privacy controls, including PII handling and encryption Simulate attack scenarios and exploit attempts Document vulnerabilities, unexpected behaviours and evidence in lower environments Analyse threat ...

responsibility for statutory reporting and finance-related regulatory returns Leading the annual budgeting process, rolling reforecasts and company financial model Supporting financial resilience assessments, stress testing and regulatory reporting Leading the transition to a new accounting platform capable of transaction-level reconciliation Introducing AI-enabled and automated workflows ...

learning workloads across AWS, Azure, GCP and on-premise/bare-metal infrastructure . Designing automated MLOps and CI/CD pipelines covering model testing, versioning, deployment and monitoring. Containerising AI applications using Docker or Podman and supporting consistent deployment across development, staging and production. Optimising GPU utilisation across … multi-GPU environments . Improving Python and model inference performance using technologies including NumPy, Numba, Triton and CUDA-based libraries . Conducting load and stress testing to ensure AI services remain performant and stable under high levels of concurrent traffic. Optimising cloud infrastructure to balance model performance, scalability ...