Data analysis (advanced)
Over the last few decades, technological innovation has relied on democratizing some of its key ingredients : knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers).
However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk.
Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing.
See our blog for more details.
One of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals.
However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.
are just tools for a job. A new problem might need a new tool. If it doesn’t exist yet, we will build it.
As an early member of our data science team, you will help
The following are required
What if I recommend someone who ends up getting hired?
We will give you 20k USD for the referral.
Where is Ntropy located?
We are fully remote, with a virtual base in New York, US.
What time-zones do you work with?
We hire anywhere in GMT-7 to GMT+1.
Do you consider part-time work?
Not at the moment. Full-time roles only.
How are you funded?
We are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.
Do you already have a product?
Yes. In production since 1st April 2021.
Do you plan to sell customer data?
Ntropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.
What is the interview process like?
We will then do a video call to kick things off and go through it (45 mins).
Above all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.
What are your hiring plans?
We aim to be 22-25 people in the next 6 months. Mostly engineering roles.
What is your current stack?
back-end - Python + Rust (where performance matters)
compute - AWS + Azure
Work / life balance?
We are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time.
We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.