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

Educational qualifications

• B.Tech/MBA/PGDM

Work experience

• 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