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CloseA cocktail of crises, including the increased cost-of-living and the ‘great resignation’, has caused numerous and wide-reaching risks to the financial health of the UK workforce. The impacts are being felt by employees at every level of workplaces.
Whilst many employers recognise that their duties extend well beyond salary, their financial wellbeing strategies often fail to cater to the diverse needs within their teams. A new parent, a graduate intern and a retiree all have different financial concerns – but it can be a challenge to ensure the help on offer reflects that. So how can employers offer tailored support which addresses age, stage-of-life and personal circumstance?
Join this People Management Insight webinar, produced in partnership with Octopus Money, to explore the varying financial needs of each employee segment and the practical ways employers can fulfil them.
Our expert panel will discuss the following and more:
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CloseCharles Cotton is the senior adviser for performance and reward to the CIPD. He is also responsible for the CIPD’s public policy work in the area of reward and has given evidence to select committees on banking pay executive remuneration and politicians’ expenses as well responding to various consultations, such as on pensions, retirement and corporate governance.
Charles frequently appears in the media commentating on reward and is often invited to present at events.
Anasuya Iyer is the VP of Growth at Octopus Money. Anasuya leads the Workplaces team at Octopus and the team help employers across the UK deliver financial wellbeing and inclusion to all their employees. Over her 15 year career, Anasuya has advised, invested in and led growth for companies across financial services and is passionate about democratising access to financial advice for all.
Mikael is an ICF trained business and personal coach as well as a People leader with experience across start-ups, scale-ups, and larger multinational companies. He is currently leading the People and Talent team at Speechmatics, who use the latest in AI, Large Language Models and machine learning to both transcribe audio and find value in its contents for businesses.