Anshuma Mangtani
Vice President, Sales Strategy & Operations at Gartner
Based in Gurgaon, India
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Seniority
Vp
Department
Sales & Business Development
Location
Gurgaon
Industry
Information Services
Company size
23K
Contact information
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a•••••••@gartner.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Anshuma Mangtani
2016-2018 - BlackRock FMA (Financial Markets Advisory) FMA advises financial institutions, regulators and government entities on their most critical and often most complex financial issues. I worked with senior management at top financial institutions, official institutions and market intermediaries and utilities around the globe, with a focus on their balance sheet and capital markets exposures as well as a wide range of other strategic, regulatory and operational challenges. 2012-2015 - Deloitte Consulting US Provided consulting services to top financial services clients in various roles (see below) Led project management for front office technology transformation at a leading hedge fund in US. This involved managing multiple stakeholders, holding accountability, driving project plans, guard railing for risks and issues and driving towards tough timelines delivery. Supported a top tier bank in their process improvement and cost reduction effort for securities business. Developed FX blueprints including processes, systems, controls and user maps. Identified key controls and clearly defined improvement opportunities. Helped in reducing costs due to extensive application landscape for a leading conglomerate. This involved process mapping, application mapping and identifying redundant applications across businesses to reduce the footprint. The effort helped reduce from 150+ sub ledgers to 6. Pre MBA Experience Worked with HSBC Securities Services on managing and advising on introduction of Trustee Products in Indian Markets in Debenture and Securitization Trustee Spearheaded a project on Severity modeling for a Insurance provider which proved critical in refinement of upcoming Insurance Class Plan by reducing high risk entities Developed Regression Models for a UK Payday lending business that enables subprime and other short-term lenders to improve profitability
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