Executive - Investigations

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.

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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.

>> Role and Responsiblities:  

1. Support model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance.
2. Validate data quality, feature engineering and preprocessing steps.
3. Conduct robustness, sensitivity and stability testing.
4. Evaluate model explainability using tools such as SHAP,LIME.
5. Review model documentation, development code, and model risk assessments.
6. Assist in developing and testing statistical and machine learning models for risk, fraud and business analytics.

  >> Key skills and tools:

1. Programming: Python (must-have), R, SQL, ML libraries
2. Tools: Jupyter, Git, MLFlow, Excel, Tableau/Power BI (for visualization), Dataiku
3. Good technical writing and stakeholder communication
4. Understanding of model risk governance, MRM policies, and ethical AI principles.

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.
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>> Qualification:

1. Bachelor’s/Master’s in Computer Science, Data Science, Statistics, Applied Math, or a related quantitative discipline.
2. 1–3 years of experience in AI/ML model validation, development, or risk analytics.