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Assistant Manager - FDD at KPMG

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial statement analysis, Accounting, Project scoping, Effort estimation, Project work planning, Team handling, Staffing, Performance management, Problem-solving, Strategic analysis, Commercial experience, Deal advisory, Written communication, Verbal communication, Analytical skills

Industry

Business Consulting and Services

Description

KPMG Delivery Network India (KDNI) is a diverse entity spread across multiple cities in India. We are an important part of the KPMG Delivery Network (KDN), a global organization that supports KPMG member firms in delivering global priority solutions to their clients across a number of different industries. Our team of over 3,000 professionals in India are known for their technical acumen and business insights, that come together to deliver exceptional client service. When you join KDN, you’ll be a part of the wider KPMG global network working alongside some of our profession’s most skilled practitioners on rewarding programs and initiatives that are changing the way business operates, delivering value to the clients of KPMG member firms and driving positive change in the communities we serve. As a KDN India colleague you will be helping to accelerate new ways of working, using cutting-edge technology to create increased value, and working together with member firm colleagues across the globe to drive sustainable growth and help achieve our ambition to be the most trusted and trustworthy professional services firm. Reporting will be to Manager / Associate Director / Director

Responsibilities

The Assistant Manager will perform detailed financial statement analysis and provide strategic advice to clients on deal advisory engagements. They are responsible for project scoping, team management, and ensuring the delivery of high-quality solutions within complex and ambiguous environments.