What is Noise?

People want to be informed and entertained. Great products make the two inseparable.

Noise is a platform to discover and trade trends. Combining real-time attention data from the top social media platforms and perpetual futures, we’re building a single app to see how much mindshare something has based on people buying and selling around the world.

It’s a hard problem. Pricing attention, modeling order flow, abstracting UX complexity — Noise is unique in its approach to consumer trading. If you’ve ever been obsessed with market design, or wondered how attention becomes an asset, this may be a powerful mission for you.

To learn more, follow us on X or visit our website.

Working at Noise

A little bit about our team:

• Six full-time employees based in the US

• Fully in-person in NYC

• Everyone either ships code, designs, or talks to users

Our Values

• Build in the Unknown: We have no interest in iterating on what already exists. Our goal is to create a new type of financial service centered around invention, not optimization.

• The Best Products Teach People What They Want: Like the best music or technology, the most valuable ideas feel obvious in hindsight. We're designing from first principles and betting on our ability to see what others don’t.

• No Passengers: Everyone at Noise — engineers, designers, marketers — is in the room, in New York City. We’re a small team moving fast with care and intensity. We solve hard problems together. You do not need permission to try new things.

Role

We seek a quantitative researcher to research, design, and develop Python-based market making strategies and model simulations. You’ll drive mechanism improvements and collaborate with cross-functional teams to enhance the risk-adjusted Noise vault performance over time.

Ideal candidate should satisfy the following:

Must-Haves:

• Minimum 3 years of work experience within the industry with prior experience working on high frequency trading strategies

• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning

• Strong experience with statistical models including regression, time-series analysis, optimization techniques, interpolation, decision trees, approximation, Bayesian networks, etc.

• Strong analytical skills to easily manipulate large and complex datasets

• Excellent communication skills to be able to communicate complex problems in an efficient manner

• Deep knowledge of market microstructures, modeling of various financial instruments, and market making strategies

Nice-to-Haves:

• Experience with C++ or Rust

• Interacted with exotic options, AMM, perpetual futures, and other DeFi instruments

• MEV Searcher

• Familiarity with latency optimization and infrastructure for high-speed trading

Our Tech Stack

• Design: Figma

• Frontend: React (Typescript), Vite, TailwindCSS

• Backend: Rust, Java

• Research: Python, Pytorch

• Infrastructure: AWS, Cloudflare

• Smart Contracts: Solidity, Foundry, Slither

How Applying Works

1. Intro & Behavioral Call — 45 minute chat with one of the founders

2. Technical Virtual Onsite — Live technical screening including 1 coding and 1 system design

3. Reference Checks — Share 2-3 references of previous supervisors you’ve worked with

4. Comp Review — 30 minutes chat with one of the founders to go over the offer

Compensation

To attract the best people, our goal is to provide competitive cash compensation and high upside in the long-term success of Noise. Equity options are subject to the same four-year schedule as the rest of the team.