Gaya: A suspected vehicle loan fraud involving nearly ₹3.80 crore has surfaced at the GB Road branch of Kotak Mahindra Bank in Bihar’s Gaya. Following an internal audit that allegedly found major irregularities in several vehicle loan accounts, an FIR has been registered at Civil Lines Police Station against 28 individuals, including two bank managers.
Audit Flags Loan Irregularities
The complaint was lodged by the bank’s Assistant Manager, Kumar Deepesh, who alleged that the matter was not a routine administrative lapse but a planned conspiracy to defraud the bank. According to the complaint, the accused allegedly submitted fabricated and forged vehicle-related documents to secure loan approvals worth crores.
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The alleged fraud came to light during an internal audit by the bank’s central inspection team. Auditors reportedly found discrepancies in loan files, including mismatches in engine numbers, chassis numbers, ownership details and financier-related documents.
Bank Officials Named In FIR
The FIR names Waris Azam, Relationship Manager in the bank’s RASA Sales Division, and Rohit Raj, Team Sales Manager, among the principal accused. Investigators are examining their role in the loan approval and document verification process.
Authorities are also probing whether lending norms were deliberately bypassed and whether an organised network helped facilitate the fraudulent loans.
Financial Trail Under Probe
Apart from the two bank officials, 26 alleged loan beneficiaries from Gaya, nearby districts and Patna have also been named in the FIR. Those identified include Rajnikant, Gangeshwar Paswan, Vijay Kumar Yadav, Ishadul Haque, MD Arshad and Jahada Khatun, among others.
Police are verifying vehicle engine and chassis numbers with assistance from the Transport Department. Investigators are also examining bank accounts, financial transactions and the movement of funds to determine how the allegedly fraudulently obtained loan money was used.
The investigation is at a preliminary stage. Officials said further legal action will be based on documentary evidence, digital records and financial trail analysis.
