Assistant Manager - Capital Markets

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.

Role Summary

We are seeking an accomplished Senior Data Scientist with proven expertise in Machine Learning, Deep Learning, and Natural Language Processing to build advanced AI-led solutions for the mutual fund and asset management (AMC) sector. The role involves high-impact initiatives including fund performance modeling, investor segmentation, portfolio optimization, document intelligence, and risk analytics.

Key Responsibilities

• Design, develop, and deploy production-grade ML/DL/NLP models for business-critical use cases.
• Build end-to-end ML pipelines with automated data ingestion, feature engineering, training, validation, and inference.
• Develop and fine-tune NLP solutions including sentiment analysis, document classification, entity extraction, and text summarization.
• Perform exploratory data analysis (EDA) on financial datasets to uncover trends and insights.
• Build dashboards and analytical frameworks using Power BI, Tableau, or Python-based tools.
• Collaborate with investment, risk, and product teams to translate business needs into AI/ML solutions.
• Mentor junior data scientists and lead cross-functional data initiatives.
• Ensure compliance with model governance, explainability, and regulatory frameworks relevant to the mutual fund industry.
  
  
  

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

• Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or related field (mandatory)
• Master’s degree in data science, Machine Learning, or related areas (preferred)
• Certifications preferred: TensorFlow/PyTorch, CFA Level I, NISM