Civil Servant Accused of Faking Illness, Juggling Five Jobs From Home
A civil servant, Kashim Chowdhury, is accused of fraudulently earning almost £350,000 by concurrently holding five full-time public sector roles. Prosecutors allege he used sick notes and exploited work-from-home arrangements to manage the workload between February 2020 and September 2023. Chowdhury, 55, from east London, is currently on trial at Southwark Crown Court, facing nine counts of fraud, which he denies, asserting he did not act dishonestly or intend to make a dishonest gain.

The jury was informed that Chowdhury allegedly secured these positions by making "false representations" regarding his employment status during applications. Over three years, he held overlapping jobs at Tower Hamlets Council, the Home Office, the Department for Environment, Food and Rural Affairs (Defra), the UK Health Security Agency, and the Department of Health and Social Care.
One key piece of evidence presented was an incident in 2023, where Chowdhury's manager at the Health Security Agency, Aleesha Adams, organized a video call to discuss his sick leave. Ms. Adams claims Chowdhury wore white make-up to appear ill, but during the meeting, the make-up reportedly began to separate on his forehead, revealing his natural skin. Prosecutor Lucy Organ told the court, "This almost laughable incident demonstrates, we say, quite how far the defendant was willing to go in his deceit."
Prosecutors further contend that Chowdhury "exploited" the work-from-home culture that became prevalent during the Covid pandemic, telling employers he needed to work remotely to care for his "unwell" mother. However, his workload eventually became "too much to cope with," leading to a decline in his performance. The alleged fraud was ultimately uncovered after the National Fraud Initiative alerted Defra to the discrepancies.
What to watch: The verdict from Southwark Crown Court regarding the fraud charges.
Editor's note: Captures the trial details, amounts, charges, and witness statements accurately from the source.
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