RepRisk Tech Stack

AI-powered reputational risk intelligence for compliance and due diligence

Information Services Zurich 201–500 employees Founded 1998 Privately Held

RepRisk delivers reputational risk data to financial institutions, asset managers, and Fortune 500 companies across compliance and ESG due diligence. The tech stack centers on Databricks + Delta Lake + Spark for streaming and batch processing, with active projects spanning LLM-powered microservices, NLP pipelines, and agentic AI systems—indicating a shift toward real-time ML-driven risk detection over manual research. Engineering and data roles comprise 95% of active hiring, and the company is addressing core infrastructure challenges around high-throughput streaming latency and ML prediction accuracy.

Tech Stack 10 technologies

Core StackGoogle Ads Databricks Delta Lake Unity Catalog Apache Spark LinkedIn Jira Service Desk Microsoft 365 Admin Center Delta Live Tables Apache Spark Structured Streaming

What RepRisk Is Building

◆Challenges

Scalable cloud infrastructure
Scaling data infrastructure for ml
Optimizing high-throughput streaming pipelines
Optimizing spend for maximum roi
Improving incident detection accuracy
Reducing latency in risk processing
Enhancing classification effectiveness
Engaging global audiences
Operational excellence and productivity
Performance and cost-efficiency

▲Active Projects

End-to-end lakehouse solutions on databricks
Llm-powered microservices and pipelines
Machine learning incidents team
Modern data platform leveraging databricks and lakehouse architecture
High-load streaming applications delivering machine learning predictions
Scalable elt pipelines using databricks workflows and delta live tables
Scalable and reliable etl/elt pipelines
State-of-the-art nlp pipeline
High-throughput streaming and batch data pipelines
Agentic systems and ai integrations

Hiring Activity

Decelerating25 roles · 7 in 30d

Department

Engineering

Data

Marketing

Research

Product

Support

Seniority

Senior

Mid

Junior

Lead

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About RepRisk

RepRisk operates as a Data as a Service provider specializing in reputational risk, compliance, and responsible business conduct intelligence. Founded in 1998 and headquartered in Zurich, the company serves a client base including leading banks, investment managers, Fortune 500 companies, sovereign wealth funds, and multilateral organizations (OECD, UN, World Bank). The platform combines AI with human research to help clients identify and monitor risks across domains including biodiversity, deforestation, human rights, and corruption. With 400 employees and offices across Zurich, Toronto, New York, London, Berlin, Manila, and Tokyo, RepRisk operates a global delivery model supporting both English-speaking and Asia-Pacific markets.

HeadquartersZurich

Company Size201–500 employees

Founded1998

Hiring MarketsGermany, Switzerland, United Kingdom, Philippines

Frequently Asked Questions

What tech stack does RepRisk use?

Databricks, Delta Lake, Unity Catalog, and Apache Spark (including Spark Structured Streaming) form the core data platform. The company also uses Jira Service Desk, Microsoft 365, and LinkedIn + Google Ads for operations and marketing.

What is RepRisk working on?

Active projects include Databricks lakehouse solutions, LLM-powered microservices, machine learning incident detection, NLP pipelines for risk classification, and high-throughput streaming data pipelines. Core challenges are reducing latency in risk processing and improving classification accuracy.