Tools like python/R are being heavily used to provide end-to-end analytical solutions for risk management. They help to set up a framework/platform to collect risk data and work out stochastic analytics to provide insights into the risks faced by a firm, be it in any sector. Data science techniques are being used to not only assess risk, but to predict outcomes in the future based on stochastic analysis and impacts of mitigation techniques. This webinar talks about the possible applications of technology to assist actuarial advice in such situations.
Vaibhav is an FRM and an Associate actuary, who has worked with leading risk consulting firms such as Marsh & McLennan Companies, and currently working with KPMG as a Consultant-Actuarial and FRM. He is experienced in advanced analytics and risk consulting, building bespoke stochastic and predictive models to quantify risk and recommend mitigation strategies. He has primarily worked on ERM strategies, D&O liability, Cyber Risk and Environmental Liability among others.
Nozipho Gazi (Chair)
Nozipho Gazi is a Risk Actuary at Canada Life UK. Nozipho provides risk oversight over company pricing and strategic initiatives and plays a lead role in coordinating the company’s ORSA process and reviewing its Risk Appetite Framework. Nozipho works in the Financial Risk team at Canada Life and is enthusiastic about the use of data science and technology to support the Risk function.
Nozipho has 10 years of consulting and industry experience across pensions, longevity modelling and risk management. Nozipho is a Fellow of the Institute of Actuaries, CERA and a member of the IFoA Committee for Lifelong Learning in Risk Management
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