Databento provides real-time and historical market data APIs. Access data for equities, futures, options, and more with one integration. Sign up for $125 in free credits. Backed by NEA.
About the role
As a Financial Data Sales Associate based in the EMEA region, you will oversee the full scope of sales at Databento. This includes the following:
What they're looking for
- Understand and communicate with our user base of developers and quants
- Experience with quant trading and market microstructure
- Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot
- Professional communication skills that align with the tone of an institutional financial product
- Readiness to work within a startup environment with limited resources and personnel
- As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries
More about this role
The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.
Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.
We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.
As a Financial Data Sales Associate based in the EMEA region, you will oversee the full scope of sales at Databento. This includes the following:
- Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise.
- Create common examples...
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