Urwah Admin

KPMG India

<div>
 
 Job Responsibility
 
 
 
 
 JOB DESCRIPTION
 
 
 
 <ul>
 <li>
 Conducting end to end financial due diligence
 </li>
 <li>
 Identification of issues and carrying out the relevant financial analysis
 </li>
 <li>
 Undertaking smaller assignments or assisting in larger assignments reporting to Associate Director or Director
 </li>
 <li>
 Writing Sections of an FDD / VDD report
 </li>
 <li>
 Analyzing in depth the financial information (trial balances, income statements, balance sheets and cash flows)
 </li>
 <li>
 Highlighting unusual trends observations and frame questions for management
 </li>
 <li>
 Interacting with the client or target management
 </li>
 <li>
 Reviewing data books prepared in accordance with firm and professional standards and in accordance with the requirements of the project
 </li>
 <li>
 Reviewing the work performed by the subordinates and coaching them
 </li>
 <li>
 Establishing strong professional relationships with onshore team members
 </li>
 <li>
 Providing support/assistance for proposals/business development
 
 
 
 </li>
 </ul>
 
 Project and Team management exposure
 
 
 
 <ul>
 <li>
 Prior experience in project scoping, effort estimate, project work planning, team handling, staffing, performance management etc.
 </li>
 <li>
 Credible record of operating as an independent contributor and also working as part of a team during larger projects
 </li>
 <li>
 High problem-solving skills; ability to drive through to an outcome in circumstances of complexity and ambiguity
 </li>
 <li>
 Goal driven &ndash; should be focused on helping clients meet their requirements &ndash; by developing answers and solutions when client requirement remains unclear / changes, and by providing relevant insights and key questions to fit the client objective
 
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Prior experience in performing detailed financial statement analysis and a strong working knowledge of the field of accounting.
 </li>
 <li>
 Strong analytical, strategic and commercial experience in advising clients on engagements.
 </li>
 <li>
 Passionate about Deal advisory with a history of learning continuously from experience and to seek out development opportunities.
 
 
 
 </li>
 </ul>
 
 Behavioral / Team Skills
 
 
 
 <ul>
 <li>
 Takes personal responsibility and accountability for own work and that of subordinates.
 </li>
 <li>
 High level of personal integrity and ability to quickly build trust amongst colleagues and clients
 </li>
 <li>
 Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
 </li>
 <li>
 Flexibility to adapt to a variety of engagement types, working hours and work environments and locations
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 
 </li>
 </ul>
 #KGS
 
 
 
 Qualifications
 
 
 
 
 Job Requirements
 
 -
 
 Mandatory Skills
 
 
 
 <ul>
 <li>
 Qualifications: CA / MBA
 </li>
 <li>
 Experience: The candidate must have 5 to 7 years of relevant experience in a similar role, particularly in a professional services firm / third-party KPO within key technology companies
 
 
 
 </li>
 </ul>
</div>

Assistant Manager

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Power and Utility
 
 
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 BTech
</div>

Analyst - P&U

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Prorgram director technical
 
 
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 Post Graduation
</div>

Senior Associate Director - Digital Government Advisory

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Ba role
 
 
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 Graduate/Post Graduate
</div>

Senior - Business Analyst

<div>
 
 
 About the Company
 
 
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are seeking a dedicated Recruiter to manage hiring for our risk advisory service line. The ideal candidate will be responsible for identifying, attracting, and hiring top talent for consulting roles within our organization. This role requires a deep understanding of the consulting industry, excellent communication skills, and the ability to build strong relationships with both candidates and hiring managers.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Conduct intake meetings with hiring managers to understand the specific requirements and qualifications needed for consulting roles.
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 Develop and implement effective recruiting strategies to attract high-quality candidates through various channels, including job boards, social media, and networking events.
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 Coordinate the entire hiring process, from initial contact to offer negotiation and onboarding.
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 Ensure a positive candidate experience throughout.
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 Maintain strong relationships with candidates, hiring managers, and external partners.
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 Provide regular updates and feedback to all stakeholders.
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 Stay updated on industry trends and best practices in recruitment.
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 Use this knowledge to continuously improve recruiting strategies and processes.
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 Ensure all hiring practices comply with legal requirements and company policies.
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 Ensuring compliance collection of past employment documents for the preparation of positioning note and checking the fitment.
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 Conduct detailed market mapping to identify potential candidates and understand the competitive landscape.
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 Salary Negotiations &amp; offer roll outs.
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 Prepare and present reports on market mapping findings, recruitment metrics, and candidate pipeline status to stakeholders.
 </li>
 <li>
 Ability to manage / mentor a team to drive success together.
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 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 2-4 years of experience in managing end to end recruitment (Non IT).
 </li>
 <li>
 Mandatory to have consulting hiring background.
 </li>
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 Prior experience of hiring Internal Auditor, ITGC would be added advantage.
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 Incumbent to possess excellent stakeholder management skills.
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 Ability to manage niche &amp; strategic Hiring.
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 Go getter &amp; should be able to work in a fast paced environment.
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 Excellent communication and interpersonal skills.
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 Proven ability to develop and implement effective recruitment strategies.
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 Ability to work independently and proactively address challenges.
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 Collaborative mindset and ability to work effectively with cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Note
 
 
 <ul>
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 Only relevant candidates will be contacted.
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 <li>
 This is a contractual position, with the possibility of conversion based on performance.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 &ldquo;KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. As an equal opportunity employer, KPMG is committed to fostering a culture where everyone feels welcomed and is treated fairly. If you have any reasonable accessibility or accommodation requirement that will make you more comfortable during the assessment and recruitment process, please let us know and our Talent Acquisition colleague will connect with you.&rdquo;
 
 
 
</div>

Executive- Talent Acquisition

<div>
 
 Job Description
 
 
 
 #KGS
 
 
 KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements
 
 
 The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India &mdash; Bengaluru, Gurugram, Kochi, Pune and Mumbai providing a range of Advisory and Tax-related services to member firms within the KPMG network.
 
 
 As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion &amp; Diversity by ASSOCHAM (The Associated Chambers of Commerce &amp; Industry of India).
 
 
 
 Team Overview
 
 
 
 The position in discussion is with Integration &amp; Separation (I&amp;S), Technology in M&amp;A within the Deal Advisory group at KPMG Global Services (KGS), which is KPMG&rsquo;s global delivery center and an integral part of the firm&rsquo;s strategy to enhance innovation, build scalability, and improve profitability globally.
 
 
 <ul>
 <li>
 KGS DA&amp;S has been providing solutions to KPMG member firms globally. By leveraging insights and applying best practices, the team helps create customized approaches to M&amp;A transactions. The team&rsquo;s capabilities include Corporate Finance, Transaction Services, Strategy, Business Modelling, Accounting Advisory Services, Deal Advisory Research and Benchmarking.
 </li>
 <li>
 KPMG&rsquo;s Integration &amp; Separation team (ISA) advises clients on executing the operational integrations of acquisitions or joint ventures, and separations of businesses, in the case of divestitures or sale. I&amp;S does this by taking an enterprise‑wide view of M&amp;A deals, across all the functions, to deliver value to our clients. In addition, team is also involved in pre-deal Due Diligence on specific areas of business.
 
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are recruiting for Consultant in the HR M&amp;A team.
 
 
 Roles &amp; responsibilities
 
 
 <ul>
 <li>
 Working with onshore colleagues to lead and provide support on a wide variety of M&amp;A projects including global programs from a people, workforce analytics and organization effectiveness perspective
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 <li>
 Support and sometimes lead work streams on HR I&amp;S projects, supporting client work stream leads to fulfil their work stream objectives
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 <li>
 Work with project teams to analyze workforce data by applying key analytical tools to provide key insights and suggest solutions to solve complex client challenges
 </li>
 <li>
 Demonstrate technical and analytical competence in a deal context for key HR aspects: HR Operations, Labor Relations &amp; Compliance, Organization &amp; Talent Management and Employee Experience and Day 1 comms
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 <li>
 Proactively co-ordinate with onshore engagement teams to procure new engagements / engagement work, obtain clarifications, communicate progress and post-delivery de-brief and feedback
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 <li>
 Seek ownership for independent engagement and tasks and on larger engagements oversee the work of more junior team members
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 <li>
 Assist in the development and presentation of final project deliverables
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 <li>
 Provide coaching and development opportunities for junior team members, and act as a mentor to colleagues within the team
 </li>
 <li>
 Work with cross-functional teams in implementing services, lead team interviews and hold workshops as necessary
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 <li>
 When you are not working on a project, you will provide support to senior colleagues in preparation of proposal materials
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 This role is for you if you have the below
 
 
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 MBA / Bachelor&rsquo;s degree in a related field from an accredited college/university preferably with major in Human resources
 
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 <ul>
 <li>
 3-5 years of total work experience
 
 
 
 </li>
 </ul>
 
 Mandatory Technical &amp; Functional Skills
 
 
 
 <ul>
 <li>
 Experience of working on M&amp;A projects including an understanding of HR&rsquo;s involvement in the deal process is desirable
 </li>
 <li>
 Experience of working with Powered BI, Alteryx, Tableau
 </li>
 <li>
 Relevant professional experience, including previous work with a Big 4, global management consultancy firm, or performed an in-house role in which you gained exposure to a large-scale project(s)
 </li>
 <li>
 Experience working within an HR function including workforce analytics, organization effectiveness, people strategy, organizational design, HR operating model, HR Process efficiency &amp; policy, change management, employee engagement, talent management (Not all specialisms are required and a deep understanding in one area may be sufficient)
 </li>
 <li>
 Experience of handling multiple stakeholders including ownership of deliverables and good commercial acumen
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 <li>
 High quality outputs on Microsoft Excel and PowerPoint. Knowledge or experience on Visio, OrgVue would also be beneficial
 
 
 
 </li>
 </ul>
 
 Preferred Technical &amp; Functional Skills
 
 
 
 <ul>
 <li>
 Analysis, problem solving and Report writing
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 <li>
 A basic understanding of project management methodologies and outputs
 </li>
 <li>
 Good client relationship skills
 </li>
 </ul>
</div>

Consultant HR M&A

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 Roles &amp; responsibilities
 
 
 Here are some of the key responsibilities of AI Research Scientist:
 
 
 <ul>
 <li>
 Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
 </li>
 <li>
 Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Develop POCs and Showcase it to the stakeholders.
 </li>
 <li>
 Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments.
 </li>
 <li>
 Model Development and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the problem domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance.
 </li>
 <li>
 Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures.
 </li>
 <li>
 Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection.
 </li>
 <li>
 Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks.
 </li>
 <li>
 Technical Mentorship: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing.
 </li>
 <li>
 Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders.
 </li>
 <li>
 Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement.
 
 
 
 </li>
 </ul>
 Mandatory technical &amp; functional skills
 
 
 <ul>
 <li>
 Strong programming skills in Python and frameworks like PyTorch or TensorFlow.
 </li>
 <li>
 In depth knowledge on Deep Learning - CNN, RNN, LSTM, Transformers LLMs ( BERT, GEPT, etc.) and NLP algorithms. Also, familiarity with frameworks like Langgraph/CrewAI/Autogen to develop, deploy and evaluate AI agents.
 </li>
 <li>
 Ability to test and deploy open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc.
 </li>
 <li>
 Ability to create detailed technical architecture with scalability in mind for the AI solutions. Ability to explore hyperscalers and provide comparative analysis across different tools.
 </li>
 <li>
 Hands-on ML platforms offered through GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker
 
 
 
 </li>
 </ul>
 
 Preferred Technical &amp; Functional Skills
 
 
 
 &mdash;Cloud computing experience, particularly with Google/AWS/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Google/AWS/Azure ( BigQuery/Synapse)
 
 
 &mdash;Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops
 
 
 Key behavioral attributes/requirements
 
 
 &mdash;Ability to mentor junior developers
 
 
 &mdash;Ability to own project deliverables, not just individual tasks
 
 
 &mdash;Understand business objectives and functions to support data needs
 
 
 #KGS
 
 
 
 
 RESPONSIBILITIES
 
 
 
 
 Roles &amp; responsibilities
 
 
 Here are some of the key responsibilities of AI Research Scientist:
 
 
 <ul>
 <li>
 Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
 </li>
 <li>
 Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Develop POCs and Showcase it to the stakeholders.
 </li>
 <li>
 Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments.
 </li>
 <li>
 Model Development and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the problem domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance.
 </li>
 <li>
 Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures.
 </li>
 <li>
 Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection.
 </li>
 <li>
 Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks.
 </li>
 <li>
 Technical Mentorship: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing.
 </li>
 <li>
 Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders.
 </li>
 <li>
 Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement.
 
 
 
 </li>
 </ul>
 Mandatory technical &amp; functional skills
 
 
 <ul>
 <li>
 Strong programming skills in Python and frameworks like PyTorch or TensorFlow.
 </li>
 <li>
 In depth knowledge on Deep Learning - CNN, RNN, LSTM, Transformers LLMs ( BERT, GEPT, etc.) and NLP algorithms. Also, familiarity with frameworks like Langgraph/CrewAI/Autogen to develop, deploy and evaluate AI agents.
 </li>
 <li>
 Ability to test and deploy open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc.
 </li>
 <li>
 Ability to create detailed technical architecture with scalability in mind for the AI solutions. Ability to explore hyperscalers and provide comparative analysis across different tools.
 </li>
 <li>
 Hands-on ML platforms offered through GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker
 
 
 
 </li>
 </ul>
 
 Preferred Technical &amp; Functional Skills
 
 
 
 &mdash; Cloud computing experience, particularly with Google/AWS/Azure Cloud Platform, is essential. With strong foundation in understating Data Analytics Services offered by Google/AWS/Azure ( BigQuery/Synapse)
 
 
 &mdash; Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops
 
 
 Key behavioral attributes/requirements
 
 
 &mdash; Ability to mentor junior developers
 
 
 &mdash; Ability to own project deliverables, not just individual tasks
 
 
 &mdash; Understand business objectives and functions to support data needs
 
 
 #KGS
 
 
 
 
 QUALIFICATIONS
 
 
 
 
 This role is for you if you have the below
 
 
 
 
 Educational Qualifications
 
 
 
 
 <ul>
 <li>
 B.Tech/Masters (MS by Research)/PhD or equivalent degree in Computer Science
 </li>
 <li>
 Preferences to candidates from Tier 1 Colleges as IITs, NITs, IIITs, IISc, Indian Statistical Institute, etc.
 
 
 
 </li>
 </ul>
 
 
 Work Experience
 
 
 
 
 <ul>
 <li>
 6 to 8 Years of experience with strong record of publications (at least 4) in top tier conferences and journals
 
 
 
 </li>
 </ul>
</div>

Assistant Manager - SA2 (AI Hub GTS)

Join KPMG India and explore 14   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.