๐ About us
mscope is a ๐ณ๐ฎ๐๐ ๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ณ๐ถ๐ป๐๐ฒ๐ฐ๐ต applying ๐ฝ๐ฟ๐ผ๐ฝ๐ฟ๐ถ๐ฒ๐๐ฎ๐ฟ๐ ๐๐ to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We're an ambitious, talented & international team of ๐ฏ๐ฌ+ 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 ๐ฑ๐ถ๐๐ฟ๐๐ฝ๐๐ถ๐๐ฒ ๐ฆ๐ฎ๐ฎ๐ฆ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ 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 ๐๐น๐ฎ๐๐ฑ๐ฒ ๐๐ผ๐ฑ๐ฒ, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. If you're motivated by building ๐บ๐ถ๐๐๐ถ๐ผ๐ป-๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ that impacts ๐บ๐ถ๐น๐น๐ถ๐ผ๐ป-๐ฑ๐ผ๐น๐น๐ฎ๐ฟ ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป๐, this is your place.
We are looking for an experienced ๐๐ฎ๐๐ฎ ๐๐ฒ๐ฎ๐ฑ to own and drive our ๐ก๐๐ (๐ก๐ฒ๐ ๐ ๐๐ฒ๐๐ ๐๐ผ๐ป๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป) ๐ฆ๐พ๐๐ฎ๐ฑ, the squad that builds the product-criteria and prioritisation layer feeding a bank's own NBC with the right opportunities, for the right client, at the right time.
๐ ๏ธ The role
- Build the prioritisation engine: business rules, objective function and expected-value scoring per company/product. ๐ฏ
- Architect data pipelines on AWS (Glue, Step Functions, Lambda, S3, Athena, Bedrock) that replace static lists and manual CRM/Excel crosses with automated opportunity identification. ๐
- Lead a cross-functional team of Data Engineers and Data Scientists, mentoring them on architecture, data quality and the integration of scoring/ML models into production. ๐ฅ
- Build full traceability into the system, target perimeter vs. covered perimeter. ๐
- Design the criteria-governance and market-intelligence layers as a reusable standard across business units, banks and countries. ๐
- Collaborate closely with Product and Business teams to turn real banking pain points into a robust, sellable product. ๐ค
๐ฏ What we're looking for
- Strong quantitative and analytical mindset, comfortable translating business criteria into scoring and prioritisation logic.
- At least 5 years of experience in data-intensive roles (Data Engineering, Analytics or Data Science), with at least 2 years leading or coordinating technical teams.
- Solid experience designing and operating AWS cloud architectures for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS).
- Expert knowledge of Python for data engineering and analytical applications; SQL proficiency for complex querying and data modelling.
- Demonstrated experience building scoring, prioritisation or recommendation systems that combine business rules with data-driven models (next-best-action, lead scoring, opportunity prioritisation, or equivalent).
- Fluency in Spanish and English.
โญ This gives extra points
- Background in Mathematics, Operations Research, Statistics, or other quantitative disciplines.
- Hands-on experience with constrained/combinatorial optimisation, multi-armed bandits, or reinforcement learning applied to business decisioning.
- Experience with Big Data frameworks (PySpark, Glue) and distributed data processing.
- Relevant experience with CI/CD pipelines, infrastructure-as-code (Terraform/CDK), and container environments (Docker, ECS).
- Experience in Financial Services, banking CRM/commercial platforms, credit risk, or marketing decisioning.
- Previous experience in a startup or fast-paced environment building multi-country/multi-tenant products from scratch, where ownership and autonomy are key.
๐ What we offer
- Base pay + ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ฏ๐ผ๐ป๐๐, private health insurance, Gympass and pension plan ๐ฐ
- 25 days of vacation (and your birthday off!)๐ด
- Hybrid mode: 2 days in office 3 days in remote๐
- Location: Downtown Madrid (Salamanca district)๐
- If interested, please email [email protected]๐ฉ