mscope is a applying to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. Were an ambitious, talented & international team of + eager to build high-quality solutions with real impact on the economy & society.
Backed by strong investors & strategic partners across the fintech sector, we build a suite of using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with , modern stack (Spring Boot, React-Redux) for app environment.
The real challenge is execution: delivering fast without compromising quality. If youre motivated by building - that impacts - , this is your place.
We are looking for an experienced to own and drive our , responsible for building and operating the signal detection and impact quantification engine behind mscopes intelligence.



This squad monitors external signals — from minimum wage changes and commodity prices to M&A; activity and regulatory shifts — and cross-references them automatically with our proprietary microsector intelligence to produce company-level impact assessments across multiple markets.
on AWS (Glue, Step Functions, Lambda, S3, Athena, EventBridge) to capture, normalise, and enrich quantitative and qualitative external signals in near real-time
- , mentoring them on architecture decisions, data quality practices, best practices across the squad: testing, validation, orchestration, observability, CI/CD, documentation and the integration of analytical models into production
that link external signals (SMI, energy prices, interest rates, raw materials) to company-level exposure using mscopes 550+ microsector taxonomy and financial data
: SFTP/S3 data feeds, API services, and the native integration module within our Intelligence front-end
to identify high-value signal types, prioritise the signal roadmap, and translate complex financial domain requirement

📌 Tech Lead (Marzán)
🏢 mscope
📍 Marzán