KPMG · Posted yesterday
Consultant (Working Capital Solutions and Restructuring)
The posting
key requirement, as the employer wrote it
KGS Deal Advisory Deal Analytics team is a cross-functional group and works on a wide variety of engagements in the public and private sectors.
The work involves supporting clients in solving wider business and commercial problems .
Roles & responsibilities KGS Deal Advisory Deal Analytics team is a cross-functional group and works on a wide variety of engagements in the public and private sectors.
The work involves supporting clients in solving wider business and commercial problems .
•Liquidity Management: — Working effectively with personnel from a variety of disciplines (Clients, KPMG advisory teams, different geographies such as UK, US, India and Australia) to provide Data analytics driven advisory solutions to a wide variety of business challenges / problems — Application of analysis and modelling solutions to complex and diverse client problems / issues mainly focused on working capital management by data processing and data visualization — Experience working on areas related to Procure to Pay, Order to Cash, and Forecast to Deliver • Financial Restructuring: — Writing independent business reviews including business summary, cash flow forecasting, data books, scenario modelling from a lender’s or buy side to facilitate deals — Doing financial research and benchmarking for target companies — Other adhoc research • Data analytics — Data processing using python/Alteryx/SQL — Profitability and cost reduction analysis using Power BI — Text analytics, statistical analysis etc.
•— Worked on Generative AI platforms (GPT, Co-Pilot, Notebook LLM) • — Good to have experience working on Microsoft Fabric and cloud based platforms like Databricks, Azure, others BTech/MBA/PGDM
KPMG
- Open roles in India
- 424
- Hiring in
- Gurugram, Bengaluru, Hyderabad, Kolkata, Noida, Kochi
- Applications through
- Their own site
Counted from the roles we read off KPMG's own hiring page today.
No open company record matched this employer by name with certainty, so none is shown — a wrong company's facts would be worse than none.