Risk Strategy Expert – DEX (Web3 / Crypto)
Design and optimize risk strategies for a decentralized exchange, focusing on trading behavior, liquidity, and price manipulation. Build data-driven models to monitor MEV attacks and arbitrage risks while collaborating with engineering teams for real-time implementation.
- On-site
- Ottawa, ON
- Posted Aug 7, 2026
- 1 position
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Job summary
Responsibilities Design and optimize overall risk strategy for the decentralized exchange (DEX), including but not limited to trading behavior identification, liquidity risk, and price manipulation risk Build on-chain data-driven risk models to identify abnormal trades, MEV attacks, volume inflation, and arbitrage risks Design and iterate on the risk indicator framework (e.g., abnormal slippage, depth changes, pool health) Collaborate with product and engineering teams to implement risk strategies as real-time monitoring and automated risk systems Continuously track changes in the DEX ecosystem (AMM mechanisms, aggregators, cross-chain bridges, etc.) to proactively identify emerging risks Participate in post-mortems of major risk incidents and optimize strategy response mechanisms Requirements Bachelor's degree or above; finance, computer science, or mathematics majors preferred 3+ years of experience in risk strategy, quantitative analysis, or on-chain data analysis Familiar with DEX mechanisms (AMM, order book DEX, liquidity pools, impermanent loss, etc.) Familiar with on-chain analytics tools (Dune, Nansen, Flipside, etc.) or proficient in SQL/Python Deep understanding of MEV, arbitrage, and flash loan attacks Strong data modeling and risk identification capabilities
What you’ll do
Design and optimize risk strategies for a decentralized exchange, focusing on trading behavior, liquidity, and price manipulation. Build data-driven models to monitor MEV attacks and arbitrage risks while collaborating with engineering teams for real-time implementation.
Requirements
Requires a bachelor's degree in finance, computer science, or mathematics with over 3 years of experience in risk or quantitative analysis. Candidates must be proficient in on-chain analytics tools and have a deep understanding of AMM mechanisms and flash loan attacks.
Listed skills
- SQLPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Risk Strategy
- Quantitative Analysis
- On-chain Data Analysis
- DEX Mechanisms
- SQL
- Python
- MEV Analysis
- Data Modeling
- Dune Analytics
- Nansen
- Flipside
- Risk Identification
Job areas
- Finance & Accounting
- Data & Analytics
- Technology
- Software
- Legal
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 3+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Associate
- Application method
- Direct apply is available