Harsh Vardhan Singh Parihar

Support credit risk function of global banks in establishing and effectively managing the credit risk loan data origination and remediation process:

– Building deals into Lynx by sourcing facility related documents like Credit or Legal Agreements, Approval Memo, Commitment Letter, Fee Letter, Collateral documents, etc.

– Identify credit data related to the facility (deal information, collateral, covenant, exposure, limits, pricing)

– Analyze loan data for existing facilities to identify data quality issues and correlate those issues with data specifications in the standardized process

– Remediate through appropriate inputs across and within the systems that are part of the entire transaction cycle like Facility Management, Lynx.

– Collateral remediation

– Complete Balance confirmation & Email confirmation of the loan accounts of the client like Loan a/c, Deposit a/c, etc. (MANTIS)

Process: Agency Servicing

· Tracking & Performing daily transactions like Loan Reprising, Paydowns, New Borrowings, PIK, etc on LoanIQ

· Handled activities like fund transfer to borrowers & lenders into their wire accounts. Setting up the wire accounts as per client request. Handling misappropriated funds.

· Handled client queries related to position discrepancy, funds not received, funds sent to wrong account, setting up new wire for funds, adding new people to the server for loan information as per the lenders & borrowers request.

· Cash tracking, creating Amortization schedules & setting up cashflows during all activities.

· Provided client resolution to position discrepancies by checking and reviewing trades on ClearPar.

· Provided training to new team members on all the activities.

· Mailbox management, PIPE building for clients, adding new lenders and exiting old lenders and setting their positions through trade and settlement payoff.

Process: MCA

· Worked on projects related to MCA and SME.

· Financial data of clients was used for the purpose of checking errors (if any) and set the data in a specified format and forward it to the higher team/management for rating purpose.

· Regions under my purview included MNC’s of US, UK & China Banks.

· Prepared Consensus Performance Model using financial data of clients for future performance estimates and for comparison of our projections to that of our competitors.