Q

Quantexa

AI-driven decision intelligence for risk

Technical Business Analyst

Business AnalysisConfirmed live in the last 24 hours
Full-timeMunich, GermanyHybrid

About the Job

Requirements

  • Work independently and proactively with a high degree of autonomy and judgment, and know when to seek support from the wider organization.
  • Bring business analysis and requirements management skills.
  • Ask insightful questions to understand problems and end-user requirements.
  • Use technical tools and data analysis platforms to navigate, query, review, and manipulate large datasets.
  • Apply analytical and problem-solving skills to adapt to evolving challenges and craft solutions that meet client needs.
  • Communicate complex technical and business concepts to technical and non-technical stakeholders, with a track record of success in dynamic client environments.
  • Understand high-quality, operationally stable systems and prioritize reliability and durability against new features and functionality in project work.
  • Have experience with diverse data analysis and technical problem-solving challenges and complex, data-oriented projects.
  • Be eligible to obtain government security clearance.

Responsibilities

  • Bridge technology and business objectives by designing data models, scores, and user-interface visualizations based on big-data queries and end-user investigative approaches.
  • Collaborate with stakeholders to identify and analyze real-world problems and help clients find technical and business solutions across a range of use cases.
  • Partner with internal teams to drive development of new features, product enhancements, and best practices.
  • Validate solution outcomes with investigator teams and lead solution fine-tuning and refinement.
  • Serve as a point of contact for clients and development teams, collaborating with end users to facilitate adoption and use of new solutions.

About the Company

Quantexa

AI-driven decision intelligence for risk

Quantexa provides decision intelligence solutions that use AI to help organizations make informed decisions by unifying data across sources. The platform targets financial institutions, government agencies, and large enterprises worldwide. It ingests and links large data sets to reveal hidden risks, detect fraud, and support regulatory compliance. The goal is to automate decision-making, improve operational efficiency, and drive revenue growth by turning data into actionable insights.

Company size
501-1,000
Company stage
Series F
Total funding
$545M
Headquarters
London, United Kingdom
Founded
2016

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