Quant Trader
Noise is a New York-based platform where curators and communities surface and value emerging consumer culture trends, spanning categories like AI, Tech, Lifestyle, Business, and Entertainment. It functions as a market-like discovery platform where trends and topics have associated volume, letting users track and act on cultural momentum.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Noise
Noise exists because culture should be shaped by the people who care about it. The company is building a platform where curators and communities surface and value trends becoming relevant around the world, covering markets such as AI, Tech, Lifestyle, Business, and Entertainment, with individual topics (e.g. Blind Boxes, Pro Wrestling, Humanoid Robots, Vibe Coding) tracked by volume. Noise is a small team based in SoHo, New York, that emphasizes passion, agency, and risk tolerance over pedigree, guided by principles like building in the unknown, seeking truth rapidly, disagreeing and committing, and taking ownership of their work. The team is hiring for roles such as Founding Product Designer and Quant Trader, suggesting a product that blends cultural curation with markets/trading mechanics.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Develop and deploy trading strategies focused on perpetual futures and derivatives markets. Use AI-native tools to analyze data, prototype tools, automate workflows, and accelerate decision-making. Apply machine learning to trading problems, contribute to exchange and trading infrastructure, evaluate exchange mechanics, and monitor live markets and risk 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, including scripting, database querying, debugging systems, and building internal tools.
- Fluency with AI coding and research tools such as Codex, Claude, Cursor, or similar agentic workflows.
- High agency, operational intensity, effective communication, and comfort working close to production systems under uncertainty.
Responsibilities
- Develop and deploy trading strategies focused on perpetual futures and derivatives markets.
- Use Codex, Claude, Cursor, and other AI-native tools to analyze data, prototype tools, automate workflows, and accelerate decision-making.
- Apply machine learning to high- and mid-frequency trading problems, including arbitrage detection, liquidity provision, market making, signal generation, and risk monitoring.
- Implement exchange features, contribute to trading infrastructure, and automate trading processes.
- Propose and evaluate 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.
Benefits
- Equity
