
RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world.

RavenPack is the leading big data analytics provider for financial services. Financial professionals rely on RavenPack for its speed and accuracy in analyzing large amounts of unstructured content. The company’s products allow clients to enhance returns, reduce risk or increase efficiency by incorporating the effects of public information in their models or workflows. RavenPack’s clients include the most successful hedge funds, banks, and asset managers in the world.
Founded: 2003
Headcount: ~253 employees
Domain: Financial services big-data / NLP analytics
Recent funding signal: Venture round reported Jul 2024 (GP Bullhound lead)
| Company |
|---|
Extracting actionable, structured data from unstructured textual content for financial services.
2003
Financial Services
Most recent reported round
5000000
Reported $5M investment
“Backed by growth investors including GP Bullhound and Draper Esprit”
About us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. European legal working status is required.
About The Role
As a Product Engineer at RavenPack, you'll own features end-to-end—from understanding user problems to shipping production code. You won't just build what's specified; you'll figure out what to build. You'll work directly with customers, move fast, and iterate based on real feedback and data.
This role sits at the intersection of engineering and product. You'll collaborate closely with product managers, designers, and data teams, but you'll also talk directly to users, question assumptions, and champion solutions that solve real problems. You're equally comfortable diving deep into technical implementation and zooming out to consider the user experience and business impact.
The main challenges include navigating the fast-moving agentic AI landscape, understanding the unique workflows of financial professionals, and building interfaces that surface complex data in intuitive ways. Key collaboration will be with various product squads focused on building
Bigdata.com
.
This role offers a hybrid work environment in our Marbella or Madrid offices.
YOUR RAMP-UP JOURNEY
In your first month, you can expect to ship your first feature to production. You'll familiarize yourself with our tech stack, product architecture, and user personas. You'll shadow customer calls to understand how financial professionals use our platform and where the pain points are.
After six months, you'll own a significant area of the product. You'll have shipped multiple features that directly impact user metrics. You'll be a go-to person for understanding how your area works—both technically and from a user perspective. You'll actively contribute to product roadmap discussions and mentor other engineers on product thinking.
KEY RESPONSIBILITIES
QUALIFICATIONS
DESIRABLE / NICE TO HAVE
What's in it for You?
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.