Tech Ops Analytics & AI Insights Analyst

Verition Group LLC; New York (NY); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Discretionary performance bonus

Comprehensive benefits package

Job summary

Verition Group LLC is seeking a data/engineering professional to evaluate and improve the technology organization’s delivery, reliability, and AI leverage across the estate. Reporting to the Technology COO, you will analyze time, cost, and quality losses, quantify impact, and drive actionable, owner-defined improvements.

The role emphasizes analysis, judgment, and driving change rather than pure reporting, with focus on live unit economics and AI-enabled insights within a fast-paced financial

Qualifications

• 2-4 years of experience at a top-tier strategy consultancy or in quantitative analytics within financial services.
• Strong proficiency in Python.
• Experience with telemetry, logs, cost data, APIs, dashboards, and operational metrics.
• Demonstrated ability to size opportunities, defend assumptions, and evaluate tradeoffs.

Responsibilities

• Own the engineering intelligence stack, including delivery velocity, software reliability, service performance, onboarding, and AI-driven metrics.
• Develop and maintain live unit economics across technology: cost per pod, workload, transaction, and AI workflow.
• Analyze consumption spend across AI inference, cloud infrastructure, and market data platforms.
• Identify inefficiencies, quantify impact, and drive remediation to closure.
• Provide recommendations across the technology organization with measurable outcomes and defined ownership.
• Benchmark platforms, tooling, services, and operating practices.
• Build and leverage AI-driven agents, pipelines, and automation for data collection and synthesis.

Skills

Python

Telemetry data

Cost data analysis

Dashboards

AI tools

Stakeholder mgmt

Data-driven reasoning

Communication

Ownership

Education

Quantitative degree/background

Job description

Verition Group LLC is seeking a data/engineering professional to evaluate and improve the technology organization’s delivery, reliability, and AI leverage across the estate. Reporting to the Technology COO, you will analyze time, cost, and quality losses, quantify impact, and drive actionable, owner-defined improvements.

The role emphasizes analysis, judgment, and driving change rather than pure reporting, with focus on live unit economics and AI-enabled insights within a fast-paced financial