Job Title: Manager | Financial Crime | Delhi | Forensic & Financial Crime

Manager | Financial Crime | Delhi | Forensic & Financial Crime
• Job requisition ID : 101733
• Location: Delhi
• Entity: Deloitte Touche Tohmatsu India LLP
The team
Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help you lead in the markets where you compete. Learn more about our Risk Regulatory & Forensic Practice.
Your work profile
As a Manager, you will lead the design and delivery of advanced NLP-driven surveillance and voice analytics solutions, driving innovation across trade and communication surveillance. You will also contribute to building scalable analytics platforms and engaging with clients in regulated industries.
Key Responsibilities
- Lead development of NLP models for analyzing large-scale voice and text data (emails, chats, transcripts).
- Build voice analytics capabilities including speech-to-text, sentiment, and behavioral insights.
- Drive end-to-end analytics platform build-up, ensuring scalability and integration.
- Design and implement trade surveillance and communication surveillance solutions for risk and compliance monitoring.
- Develop advanced natural language analytics models using transformers, LLMs, and deep learning techniques.
- Translate business requirements into AI/ML solutions and manage client engagements.
- Mentor team members and support delivery, practice development, and thought leadership.
Key skills required:
- Strong experience in NLP model development (classification, NER, topic modeling, etc.).
- Hands-on experience in voice analytics / speech processing.
- Experience in trade surveillance and/or communication surveillance.
- Proven capability in building scalable data/analytics platforms.
- Proficiency in Python and NLP frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience with large-scale structured and unstructured datasets.
- Experience in financial services / risk / regulatory compliance domains.
- Exposure to LLMs / Generative AI in surveillance or analytics use cases.
