RegTech and AI governance platforms for financial institution risk and compliance
Solytics Partners builds compliance, model risk and AI governance software for financial institutions. Its stack is Azure-first (AKS, Bicep, Azure DevOps, Key Vault) with a secondary AWS serverless footprint, and current projects include FRTB, VaR and expected shortfall calculation microservices. Senior-heavy, accelerating hiring in India alongside RAG adoption and GPT-based data extraction points to quant risk engines and LLM features being built in parallel.
Solytics Partners is a privately held RegTech and AI firm headquartered in New York, with 201–500 employees. It sells to financial institutions, offering a suite of platforms that covers AI governance and assurance, model risk management, financial crime compliance and trade surveillance. Product names include NIMBUS Uno, MRM Vault, MoDeVa, SAMS, ATOMS, EMoT, ARC and Risk Assessment Vault. The modules are designed to combine into end-to-end workflows for screening, model validation, monitoring and regulatory reporting. Current hiring is concentrated in India and spans engineering, data, sales, finance, legal and product.
Solytics Partners runs mainly on Azure (AKS, Azure DevOps, Bicep, Key Vault, Azure Monitor) with Terraform, Kubernetes and Docker, plus Python frameworks Django, Flask and FastAPI, PostgreSQL, SQL Server, Oracle, Spark and Airflow.
Projects include market risk and FRTB calculation microservices, VaR and expected shortfall engines, regulatory reporting solutions, AI-driven compliance tools, and OpenAI GPT integrations for data extraction.
Current hiring is in India and is accelerating, with a senior-weighted mix led by engineering and data roles, plus sales, finance, legal and product positions.
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Solytics Partners's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.