On-chain Quantitative Engineer

SoSovalue

$4.7-7.8K[Monthly]
On-site - Central3-5 Yrs ExpBachelorFull-time
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This job is open to Singaporean/PR, Passholder - EP/SP/WP/Others, Malaysian

Job Description

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Benefits

  • Bonuses

    Incentives

  • Perks & Allowances

    Subsidised meals, Office Equipment/Hardware

  • Time Off & Leave

    Annual Leave, Marriage Leave, Sabbaticals

Description

1. Build a quantitative trading model that integrates traditional financial factors based on on-chain transaction data, address behavior graphs, and DeFi protocol status.

2. Develop various on-chain strategies including arbitrage and liquidity mining, and validate the model's effectiveness through historical backtesting and simulations.

3. Establish a dynamic parameter adjustment mechanism to optimize slippage control, gas fee prediction, and risk exposure management modules in real-time.

4. Monitor market dynamics and adjust strategy parameters in real-time to optimize the risk-return ratio.

5. Construct multi-chain data collection systems to process structured data such as blocks, transactions, logs, and events.

6. Build real-time monitoring dashboards to track market signals such as DEX trading pool depth and liquidity, cross-chain asset transfers, and derivatives funding rates.

7. Interface with system integration and deployment, design trading execution systems, and optimize strategy concurrency and fault-tolerance mechanisms in a distributed environment.

8. Develop a strategy performance attribution system to achieve profit and loss decomposition and risk assessment.

Requirements

1. Bachelor’s degree or higher, with a preference for majors in Computer Science, Financial Engineering, Mathematics, Physics, or related fields

2. Over 2 years of experience in data modeling, quantitative research, or Web3/DeFi related development; exceptional candidates may be considered with less experience

3. Familiarity with EVM principles and blockchain data structures, understanding of block construction and execution processes

4. Proficient in Python, with capabilities in strategy modeling, data cleaning, backtesting, and visualization

5. Familiarity with Solidity, able to analyze the logic of mainstream protocol contracts and support data extraction

6. Preference for candidates with experience in MEV strategies, on-chain arbitrage, or DeFi strategy development

7. Familiarity with the architectures of major public chains like Ethereum and Solana, as well as their ecological differences

8. Preference for candidates with experience using on-chain data tools such as The Graph, Dune, Flipside, or Nansen

9. Preference for candidates with public works on GitHub / Dune, or involvement in live projects

Ethereum/SolidityEVMPythonMEVblockchainpublic chainon-chain transactionsminingdata monitoring
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Angus Leung

人力資源主任SoSovalue

Working Location

29 Media Cir., Singapore 138565

Posted on 21 May 2025

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