Associate consultant - Restructuring

•Role type Individual contributor

•Reporting to Manager

•Geo to be supported US

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

•B.Tech/MBA/PGDM

• Experience of Data analytics, Financial Analysis, Business Modelling or Financial Modelling

• Mandatory technical & functional skills
• •A good Understanding working knowledge of accounting, financial statements, and financial analysis, financial ratios;
• •Understanding of working capital process
• •Experience in Working Capital Optimization analysis(Account Payables & Receivables and Inventory Optimization)

• Strong analytical and problem-solving skills;

• — Data wrangling and data processing skills
• — Advanced knowledge of Alteryx, Tableau, Power Bi, Excel and T-SQL
• A commercial outlook and a good understanding of the general business and economic environment; and
• Preferred technical & functional skills
• •Knowledge of R/Python would be a plus but not mandatory.
• Knowledge of research databases like CapIQ, Debtwire would be a plus but not mandatory