Paxos Labs Logo

Paxos Labs

Quantitative Researcher

Posted 6 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
Mid level
In-Office or Remote
2 Locations
Mid level
The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.
The summary above was generated by AI
Who we are

Paxos Labs builds enterprise infrastructure that powers the next generation of trusted onchain financial products. We work with the largest financial enterprises in the world to build transparent and verifiable onchain infrastructure that works for end users and everyday financial use cases. If you believe in bringing DeFi and digital assets to the mainstream, consider building your career at Paxos Labs.

We're hiring a Quantitative Researcher to help scale Paxos Labs's DeFi risk analysis capabilities.

Who we're looking for

The team at Paxos Labs builds DeFi infrastructure that reimagines the way on-chain liquidity strategies are handled. Strategies and risk management are delegated to sophisticated actors who act from compute done in a data rich offchain environment—all the while maintaining on-chain constraints that enforce user safety.

We are looking for a motivated quantitative researcher that can aptly research and deploy extensive knowledge across TradFi and DeFi to execute state-of-the-art risk curation and yield optimization across the DeFi ecosystem.

Most importantly, we are looking for researchers with interests in the following:

  1. Quantitative Risk Analysis

  2. TradFi Trading Strategies

  3. DeFi Trading Strategies

Responsibilities
  • Manage a portfolio of yield generating opportunities across protocols and chain, closely collaborating with our DeFi engineers on execution.

  • Manage algorithm design and backtesting to produce actionable insights for DeFi portfolio management.

  • Create frameworks for risk analysis and portfolio optimization.

  • Monitor data, forecast risk, and design triggers to enter opportunistic strategies or exit black swan events before anyone else in the market.

Qualifications
  • Deep Knowledge on Risk Management. Financial and statistical concepts to measure risk and optimal portfolio management.

  • Deep Knowledge on DeFi Protocols. Internal mechanisms of many if not most of these protocols:

    • Liquid staking protocols (Lido, EtherFi, Kinetiq)

    • AMMs (Uniswap, Balancer)

    • Lending protocols (Aave, Morpho Blue, Maple, Term Finance)

    • Perp DEXs (Hyperliquid, Lighter, GMX).

    • Auctions/RFQs/Routers (CoW Protocol, UniswapX, 1inch Fusion, Hashflow)

  • Familiarity with Data Engineering

  • Experience with managing a book in TradFi or DeFi across equities, tokens, loan books, or other types of strategies.

  • Experience applying rigorous statistical methods to portfolio analysis.

Why join us?

Joining Paxos Labs means becoming part of a pioneering team at the forefront of financial innovation for the mass market. You will have the opportunity to:

  • Build the Future: Play a critical role in transforming traditional enterprises with innovative crypto solutions.

  • Do Impactful Work: Contribute to projects that have a tangible impact on the global financial landscape.

  • Enable Personal Growth: Benefit from continuous learning and professional development in a rapidly evolving industry with an emphasis on personal career advancement.

  • Receive Competitive Compensation: Receive a competitive salary and participate in directly in ownership structures that provide top-of-the-line benefits.

  • Join A Dynamic Team: Thrive in a fast-paced, agile setting where your ideas are valued and your contributions are recognized.

Location

We are a heavily in-person team working in New York City. We prize effective in-person coordination that allows us to move fast. We also consider remote work on a case by case basis.

Once we receive your application, we'll be in touch if we are interested.

Top Skills

Amms
Auctions
Data Engineering
Defi Protocols
Lending Protocols
Liquid Staking Protocols
Perp Dexs
Rfqs
Risk Management

Similar Jobs

3 Days Ago
Easy Apply
Remote
US
Easy Apply
250K-350K Annually
Mid level
250K-350K Annually
Mid level
Big Data • eCommerce
As a Quantitative Researcher, you'll develop strategies using alternative datasets to improve investment decisions, design and backtest models, and collaborate across teams to scale research into quant products.
Top Skills: EconometricsMachine LearningPythonRStatistical Modeling
9 Days Ago
In-Office or Remote
2 Locations
159K-327K Annually
Senior level
159K-327K Annually
Senior level
Social Media
Lead quantitative research focusing on the monetization strategies, guiding teams on research agendas, and synthesizing data into actionable insights. Collaborate with cross-functional teams to balance monetization and user engagement, presenting findings to senior leadership.
Top Skills: PythonRSQL
Mid level
Blockchain • Software
The Quantitative Researcher will develop quantitative trading strategies and improve existing infrastructure for cross-chain trading, focusing on performance and capital efficiency in crypto markets.
Top Skills: PythonRust

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account