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FCC ANALYTICS Tech Stack

AI-powered AML compliance platform for financial institutions

Information Technology & Services Hong Kong 11–50 employees Privately Held

FCC Analytics builds compliance automation for banks and securities firms using machine learning, NLP, and RPA. The tech stack (Python, React, multiple SQL databases, containerized on Kubernetes across AWS/Azure/GCP) supports a distributed backend typical of data-heavy financial systems. Active projects cluster around LLM applications for AML tasks and transaction monitoring ML—indicating a pivot toward generative AI for compliance workflows rather than purely rule-based detection.

Tech Stack 45 technologies

Core StackPython JavaScript MySQL AWS Docker Kubernetes Jest Cypress Selenium TypeScript React Angular Bootstrap Java Node.js Go Express.js Nest.js Django PostgreSQL SQL Server MongoDB Azure GCP OAuth JWT CSS HTML5 SCSS Spring Boot+15 more

What FCC ANALYTICS Is Building

◆Challenges

Aml compliance detection
Anti-money laundering compliance
Detecting money laundering
Aml compliance challenges

▲Active Projects

Llm applications for aml tasks
Aml ai product development
Transaction monitoring ml system
Anti-money laundering ml system
Cryptocurrency analysis ml system
Prototype llm algorithm implementations
Nlp utilities integration with aml pipelines
Data analytical project
Statistic and operation reports

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering

4

Data

2

Product

1

Seniority

Mid

5

Intern

1

Junior

1

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About FCC ANALYTICS

FCC Analytics is a RegTech platform focused on anti-money laundering (AML) compliance for traditional banks, virtual banks, and securities firms. The product suite spans transaction monitoring, customer due diligence (KYC/CDD), name screening, network analytics, and automated suspicious transaction reporting (eSTR). Core capabilities include machine learning model tuning, big data analytics, and robotic process automation to reduce compliance costs and operational friction. Based in Hong Kong with hiring concentrated in China, the company operates as a small, engineering-led team serving regulated financial institutions across Asia.

HeadquartersHong Kong

Company Size11–50 employees

Hiring MarketsChina

Frequently Asked Questions

What tech stack does FCC Analytics use?

Python, JavaScript, React, Node.js, Java, Spring Boot, Django, PostgreSQL, MySQL, MongoDB, AWS, Azure, GCP, Docker, Kubernetes, and testing tools including Jest, Cypress, Selenium.

What is FCC Analytics working on?

LLM applications for AML tasks, transaction monitoring ML systems, cryptocurrency analysis, NLP pipeline integration, and AML AI product development alongside internal analytics and operations reporting.