Software Engineer — Financial Crime Prevention

About the Role

Tookitaki builds FinCense, a financial crime detection platform used by banks and payment providers across Asia-Pacific. The platform combines real-time fraud prevention with anti-money laundering (AML) transaction monitoring, processing millions of transactions daily.

We are looking for an engineer to design and build core platform capabilities across real-time scoring, shared data infrastructure, network analysis, and AI-assisted investigation. You will work on detecting complex financial crime patterns across large-scale transaction networks, where adversaries actively adapt to evade detection.

This is a high-ownership engineering role with direct product influence. The work spans real-time systems, data infrastructure, network analysis, and AI-assisted workflows — you will focus on the areas that match your strengths.

Projects You'll Own

You will take ownership of projects across these areas, based on your strengths:
Real-time and batch data processing pipelines at scale




Shared platform infrastructure — feature computation, entity resolution, state management
Graph and network analysis systems
AI agent workflows for operational automation

Across all of these, you will own features end-to-end and have direct input on architecture decisions.

Requirements

Engineering
Robust programming fundamentals with proficiency in at least one backend language used in production systems
Experience building data-intensive systems at scale — streaming, batch, or distributed computing in production
Solid understanding of system design: data flow architecture, state management, API design, performance trade-offs
Clean, testable, maintainable code. You optimise for simplicity and correctness.

Product & Problem Solving
You consider user impact when making technical decisions
You can identify high-leverage work that reduces operational burden
Comfortable pushing back on unnecessary

📌 Software Engineer Bengaluru (India)
🏢 Tookitaki Holding
📍 India