Financial services platform with emerging AI-driven trading and compliance automation
SMC Group operates a diversified financial services infrastructure serving Indian institutional and retail clients across equities, commodities, currencies, and wealth management. The tech stack reveals a fintech org in transition: core services run on Java/Spring Boot + PostgreSQL/MongoDB on AWS, but active adoption of Llama 3, Mistral, Gemma, and RAG tooling (LangChain, Qdrant, Milvus) alongside PyTorch signals a push toward AI-powered trading signals and compliance automation. Engineering-heavy hiring at senior levels suggests they're scaling capability to handle both existing payment/clearing system reliability and new ML model deployment.
Notable leadership hires: Tech Lead
SMC Group is a publicly listed financial services company founded in 1994, headquartered in New Delhi. The firm offers brokerage services across equities (spot and derivatives), commodities, and currencies; investment banking; wealth advisory; IPO and mutual fund distribution; depository and clearing services; insurance broking; and alternate investment funds. The 1,001–5,000 person organization serves corporate clients, institutional investors, high-net-worth individuals, and retail customers. Current infrastructure priorities include trading advisory compliance automation, low-latency signal generation, and internal AI fine-tuning for regulatory workflows.
Core stack: Java, Spring Boot, PostgreSQL, MongoDB, Redis on AWS. Data: Apache Spark, Athena, AWS Glue. ML: PyTorch, Transformers, LangChain, Qdrant, Milvus, SageMaker, Bedrock. Frontend: React, Next.js. Infrastructure: Ansible, Puppet, Chef for orchestration.
Active adoption of Llama 3, Mistral, and Gemma. Current projects include fine-tuning Llama 3 for RAG workflows and low-latency trading signal models, with QLoRA optimization.
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