Quantitative Trading Specialist - Decentralized Finance

codi recruitment Australia And New Zealand
Remote
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AI Summary

Design and iterate market-making strategies for perpetual futures, build fair-value models, and take strategies into production. Work closely with engineering to ensure systems fail safely and transparently.

Key Highlights
Designing and iterating market-making strategies for perpetual futures
Building fair-value models and microstructure signals
Taking strategies into production and owning their behavior in live markets
Defining robust safety rails for extreme conditions
Technical Skills Required
Python Rust Probability Statistics Optimization Time-series analysis Order books Exchange mechanics
Benefits & Perks
Competitive salary
Fully remote work
Comp paid in USDC
Additional upside tied to long-term success

Job Description


We’re helping build out a quant function for a high-performance Decentralised Finance (DeFi) Trading Venue. This is an on-chain perpetuals exchange handling significant volume, looking to further establish their Quant practice.


This is a hands-on & Technical Quantitative trading role where you’ll sit right at the intersection of trading strategy, and production systems. You’ll own the full lifecycle - from idea generation and backtesting through to live trading behaviour under real market stress.


What you’ll be doing:

  • Designing and iterating market-making strategies for perpetual futures, including pricing, spreads, sizing, and inventory/risk controls.
  • Building fair-value models and microstructure signals that account for volatility regimes, adverse selection, and exchange-specific dynamics.
  • Taking strategies into production and owning their behaviour in live markets — including monitoring, alerting, and post-mortem analysis.
  • Defining robust safety rails for extreme conditions such as thin liquidity, price dislocations, and fast market moves.
  • Working closely with engineering to ensure systems fail safely, predictably, and transparently.


What “good” looks like here:

  • You can clearly explain why a strategy makes money, and when it shouldn’t be trading.
  • You favour simple, testable logic with measurable impact over overly complex or fragile models.
  • You’re comfortable owning trading systems end-to-end and defending your design decisions, collaborating with technical founders


What we’re looking for:

  • Proven experience designing and evaluating trading strategies, ideally in market making or execution within a CEX or DeFi environment
  • Strong quantitative fundamentals across probability, statistics, optimisation, and time-series analysis.
  • Solid engineering instincts and experience working with order books and exchange mechanics.
  • The ability to communicate assumptions, limitations, and risk clearly.
  • Exposure to Python and/or Rust


Nice to have:

  • Experience with perpetuals (funding, margin, liquidation mechanics).
  • Background in DeFi trading systems or high-throughput, low-latency environments.


The setup:

  • Fully remote, across East Asia/Australia/NZ. Must be within +- 3 hrs AEDT. (We have team members across Singapore, Australia and NZ)
  • Comp paid in USDC, with additional upside tied to long-term success.
  • Small, senior team, high ownership, and a strong engineering-first culture.


If you’re excited by real market structure problems, care about correctness under stress, and want to build systems that actually trade, this one’s worth a conversation.


Apply on the Link below attaching your Resume or similar, don't worry if it’s not updated we can sort the rest out later.


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