Sky Strike — Live Event Ticketing Analytics

Live event ticketing analytics, built for the secondary market

Sky Strike is a specialized analytics and trading firm focused on live entertainment. We operate exclusively in secondary ticketing.

We run a small, research-driven desk in Santa Monica. Proprietary data, disciplined process, and direct market access—not a marketplace, not a broker shop. A firm built to trade.

Santa Monica, CA Secondary purchasing focus

A trading desk

We study supply, demand, and pricing across the secondary ecosystem—inventory depth, cross-venue dynamics, and how information moves before the crowd catches up. Our edge is analytical: models, tapes, and judgment applied under real capital and real time pressure.

  • Live events
  • Secondary market
  • Quantitative research
  • Inventory & flow
  • Proprietary data
  • Systematic execution

What we do

Source and purchase secondary inventory where our research identifies edge. Build and maintain the data infrastructure that supports every decision on the desk—from market monitoring through execution and inventory management.

How we're structured

A tight team: trading leadership in Santa Monica, technology and research support, and senior advisory on architecture and process. Small footprint by design—high conviction, fast iteration, direct accountability.

Career opportunities

We hire selectively for roles that sit close to the desk. Ideal for students or recent grads who are strong in Python, curious about markets, and able to work in person in Santa Monica on a consistent schedule.

Junior Quant Developer

Santa Monica 20–30 hrs/week Python required In office

Build the data and operations platform behind a live secondary ticketing desk—ingestion, pipelines, internal tools, and dashboards the team uses every day.

  • Integrate external market and event data sources; document and maintain pipelines
  • Postgres warehouse: artists, venues, events, prices, inventory
  • Python services and dashboards for desk analytics and monitoring
  • Path toward automated purchasing and inventory workflows over time

Additional roles may open as the platform grows. Reach out if you're a strong fit for research, data, or trading operations.

Apply

Mac Walker

Reach out with a short note—we move quickly on strong, concise applications.

Send us

  1. Resume, LinkedIn, or GitHub with 1–2 projects
  2. One paragraph on a project where you used Python to ship something
  3. Weekly availability and confirmation you can work in person in Santa Monica