The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
Sam McAfee focuses on quantitative risk modeling approaches exploring how to bring scientific rigor back into the Lean Startup process with Monte Carlo simulations and Cost of Delay scenarios.
Rupert Scofield explains how to build, motivate, and manage a team that both embraces the mission and delivers financial results, how to mitigate risk, and how to solve interpersonal conflicts.
The authors present design patterns and use cases of capital market firms that are incorporating big data technologies into their credit risk analysis, price discovery or sentiment analysis software.
Tim Lister presents the advantages—and the dangers—of practicing risk management in an adult-like fashion, offering a process for tailoring an organization and discussing how it can grow up.
Neil Killick proposes ways to reduce risk and uncertainty, calculate a product’s price, determine delivery dates and roadmap, do Scrum and XP without using estimates.
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
Dan North discusses the need to embrace uncertainty of scope, technology, effort and structure, expecting the unexpectable and anticipating ignorance.
Robert N. Charette talks about challenging assumptions which leads to discovery and innovation, the relationship between risk and profit in Lean, and about the need to master risk management.
This talk gives practical tips for adopting an agile approach to planning, team interactions and risk management. When the culture shifts, teams achieve goals sooner and safety is greatly enhanced.
This session introduces Real Options and shows how it can help in running your project. Real Options is a decision-making process that can be used to manage risk.