N
Quant Trader
Noise LabsDecentralized Finance company
New York, United States$100K - $150KSenior
Paradigm
Figment Capital
Anagram
GSR
JPEG Trading
KaitoAI
Data & AI
About the role
TL;DR
Develop and deploy trading strategies using machine learning and AI tools.
- •Noise is building a culture platform; our goal is to surface verifiable trends via market dynamics to present a uniquely valuable view of the world at a time of peak uncertainty.
- •Key Responsibilities Develop and deploy trading strategies, with a focus on perpetual futures and other derivatives markets.
- •Use Codex, Claude, Cursor, and other AI-native tools to analyze data, prototype tools, automate workflows, and accelerate decision-making.
- •Apply the latest machine learning models to high
- •and mid-frequency trading problems, including arbitrage detection, liquidity provision, market making, signal generation, and risk monitoring.
- •Implement features on exchanges, contribute to trading infrastructure, and automate trading processes.
- •Propose and evaluate new exchange mechanics, including liquidity provision, vault design, market listing incentives, funding models, liquidation logic, and risk controls.
- •Monitor live markets, liquidity, positions, margin, liquidations, and abnormal trading behavior in real time.
- •Requirements 3+ years of experience in trading, quantitative research, market making, exchange operations, HFT, or a similarly rigorous environment.
- •Strong understanding of derivatives, especially perpetual futures, order books, margin, funding, liquidation, liquidity, and risk.
- •Strong programming fundamentals; comfortable writing scripts, querying databases, debugging systems, and building internal tools.
- •Fluent with AI coding and research tools such as Codex, Claude, Cursor, or similar agentic workflows.
- •High agency, operational intensity, and effective communication; comfortable working close to production systems and acting under uncertainty.
Required skills
Python
Domain expertise
fintech
Benefits & perks
Equity, Benefits
Tech stack
PythonAnthropic API
