Contract Compliance Consultant - Royalty Audit and Data Analysis

Royalty Engagements Audit reviews Royalty projects audit review and data analysis Team Overview The Contract Intelligence team within KPMG Global Services (KGS) supports the UK Advisory practice on contract compliance, royalty, licensing and investigative reviews across music streaming, film, gaming, publishing, digital media and wider media and entertainment. Based in Bangalore, the team delivers scalable, high-quality, technology-enabled support through an integrated offshore–onshore model. Our Services We help clients exercise contractual audit rights to assess whether third-party partners comply with key commercial and financial terms. Our approach involves: [PT1] Interpreting contract clauses and translating them into financial and analytical tests Comparing contractual expectations with actual financial outcomes through data-driven audit procedures Analysing large transactional datasets to determine the position contractually due Supporting the development of robust, evidence-backed findings for discussion with counterparties Enabling scalable execution through structured data models Key Benefits to Our Clients [PT2] Identification of commercial and financial leakage, including overcharges, incorrect pricing and under-reported revenues Royalty audit visibility over how third parties are monetising licensed IP, products or content Royalty-focused confidence in complex commercial and licensing arrangements Data-backed recommendations to improve financial controls, processes and contract governance Improved audit transparency and defensibility through structured, traceable analysis Role Summary As a Contract Compliance Consultant at KGS, you will support UK-led royalty audit and contract compliance engagements by translating contract terms into analytical tests, building data models, identifying leakage and preparing client-ready insights. Role & Responsibilities You will work with senior offshore and onshore team members, own defined analytical workstreams and deliver high-quality, defensible outputs. Core Responsibilities: Coordinating with UK stakeholders and contributing to high-quality engagement deliverables. Reviewing contract, royalty, licensing, revenue share and IP clauses across media and entertainment contracts. Developing risk-based workplans and audit procedures to test contractual expectations against financial outcomes. Identifying pricing issues, under-reported revenues, overcharges, anomalies and leakage. Data & Financial Modelling Focus [PT3] Using tools such as Excel, Power Query, Power BI, SQL, Alteryx or equivalent platforms to cleanse, transform and reconcile data. Developing financial models to: Validate pricing, rebates, royalties, and revenue share calculations Recompute contractual outputs independently Perform variance and root-cause analysis Building tailored reconciliation models to compare contractual expectations with actual financial performance. Using Visual Studio, VS Code or equivalent IDEs for Python-based analytics, including packages, command line access and reusable scripts. Standardising repeatable modelling approaches. Visualisation & Insights Creating Power BI dashboards and visualisations for onshore teams and clients Translating complex data models into clear, actionable commercial insights Supporting development of client-ready outputs and presentations Audit & Delivery Curious about using technology to improve engagement efficiency, quality and scalability. Identifying opportunities to automate repeatable data preparation, reconciliation and testing steps. Supporting the development of reusable templates, models and analytical approaches. Using Copilot and agent-based tools for workpaper preparation, data quality checks, first-cut commentary, anomaly identification and repetitive workstreams. Supporting process walkthroughs and documenting key findings Ensuring audit defensibility through clear documentation and evidence mapping Producing structured, high-quality analysis for inclusion in client reports Collaborating with senior stakeholders across KGS and UK teams [PT4] Required Experience & Key Skills Candidates from audit, data analytics, finance, forensic, royalty audit or advisory backgrounds are preferred, with 6–10 years’ experience in Big Four consulting or accounting firms [PT5] . Strong emphasis on: Commercial understanding of the business context in which suppliers, licensees or third-party partners provide and charge for their services. Advanced Excel and data modelling skills: Complex formulas, pivot tables, Power Query and structured workbook design Structured modelling for large datasets Scenario and sensitivity analysis SQL and/or Python experience for data transformation, testing and automation Financial Modelling Expertise: Experience building models for revenue validation, pricing, and cost analysis Strong understanding of P&L and commercial constructs Ability to translate contractual clauses into quantitative logic Experience with royalty, licensing, revenue share or contract compliance reviews is preferred Experience with Power BI or similar data visualisation tools is preferred. Experience with Python, Visual Studio, VS Code or similar IDEs is desirable. Experience or interest in using Copilot and agents for repetitive analytical, documentation, quality-checking or workflow tasks is desirable. Strong analytical and problem-solving skills Understanding of audit methodologies and testing approaches Strong written and verbal communication skills, including experience working with global stakeholders and client-facing teams Ability to manage multiple priorities under tight timelines High attention to detail and accuracy Personal Attributes Proactive, self-driven, and solutions-oriented Strong ownership mindset with a focus on delivery quality Collaborative team player, comfortable working in offshore–onshore models Curious and eager to build technical and commercial capability Resilient in a fast-paced, client-driven environment Required Qualifications Degree in Finance, Accounting, Business, Economics, Data Analytics, Engineering or a related field Progress towards, or completion of, ACA, ACCA, CIMA, or an equivalent qualification is preferred [PT1] Make point about data analysis early: Analysing large transactional datasets to determine the position contractually due Supporting the development of robust, evidence backed findings for discussion with counterparties [PT2] Include reference to royalty scope: Improve visibility over how third parties are monetising licensed IP, products or content Build greater confidence in complex commercial and licensing arrangements [PT3] More specific language to allow candidates with experience of some if not all to apply. Experience of Using tools such as Excel, Power Query, Power BI, SQL, Alteryx or equivalent platforms to cleanse, transform and reconcile data [PT4] New section? The candidate should be curious about how technology can improve the efficiency, quality and scalability of the engagement delivery. Responsibilities include: Identifying opportunities to automate repeatable data preparation, reconciliation and testing steps Supporting the development of reusable templates, models and analytical approaches Exploring appropriate opportunities to use AI tools to improve efficiency, such as: Assisting with workpaper preparation Supporting data quality checks Drafting first-cut commentary on analytical findings Identifying patterns or anomalies for review [PT5] Rachel: Could do with adding in something on Commercial understanding - ie understanding the business context in which suppliers provide and charge for their services Graduation Experience Level Senior Level