Senior Quant Researcher
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
Intro & Behavioral Call — 45 minute chat with one of the founders
Technical Virtual Onsite — Live technical screening including 1 coding and 1 system design
Reference Checks — Share 2-3 references of previous supervisors you’ve worked with
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.
Average salary estimate
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