KDB+/q Data Engineer for Risk & Regulatory Analytics

Euclid Innovations; Charlotte (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

Euclid Innovations seeks a data-focused software engineer to develop and enhance KDB+/q applications supporting CCAR, stress testing, regulatory reporting, and market/risk data processing.

You will design scalable data ingestion and analytics workflows, model time-series data, and optimize SQL integrations across enterprise platforms, partnering with Risk, Finance, Quantitative Analytics, and Technology teams to deliver robust solutions.

Qualifications

• Experience with KDB+/q data modeling and time-series optimization.
• Strong SQL skills and experience integrating with enterprise data platforms.
• Proven ability to build scalable data ingestion, transformation, and analytics workflows.

Responsibilities

• Develop and optimize KDB+/q applications for CCAR, stress testing, and regulatory reporting.
• Model time-series data and optimize data pipelines across large datasets.
• Collaborate with Risk, Finance, Quantitative Analytics, and Technology teams to deliver high-quality data solutions.

Skills

KDB+/q development

Time-series data management

SQL

Data ingestion workflows

Job description

Euclid Innovations seeks a data-focused software engineer to develop and enhance KDB+/q applications supporting CCAR, stress testing, regulatory reporting, and market/risk data processing.

You will design scalable data ingestion and analytics workflows, model time-series data, and optimize SQL integrations across enterprise platforms, partnering with Risk, Finance, Quantitative Analytics, and Technology teams to deliver robust solutions.