Jordan Mensah
@jordanmensah
Cryptocurrency intelligence analyst focused on on-chain threat research and smart contracts.
What I'm looking for
I’m a Cryptocurrency Intelligence Analyst with a strong focus on on-chain infrastructure analysis and threat actor research. At Elliptic, I map how funds move across exchange operations and how deposit and hot wallet structures support withdrawals and liquidity management across UTXO and EVM-based chains.
I also investigate attacker operations by reverse engineering JavaScript-based drainer code. I analyze fund movement patterns and how assets are laundered from on-chain to off-ramp, bringing clear technical intel to support investigations and team decisions.
On the security side, I conduct smart contract and exploit post-mortem analysis, connecting attack vectors to specific vulnerabilities. I’ve also performed in-depth smart contract security audits, using formal verification methods and manual code review to detect potential exploits, then delivering detailed risk reports with mitigations.
I’m passionate about smart contract security and building resilient decentralized systems. I use Databricks and Dune to query on-chain and off-chain data, and I build internal automation workflows with Claude to reduce manual effort—like extracting screenshot links from Excel and automating storage into Google Drive.
Experience
Work history, roles, and key accomplishments
Analyzed cryptocurrency on-chain infrastructure and threat actor activity, reverse-engineering drainer code and applying smart-contract exploit post-mortem insights to support investigations. Used Databricks and Dune to query on-chain/off-chain data and built internal automation workflows with Claude to reduce manual effort.
Education
Degrees, certifications, and relevant coursework
Queen Mary University of London
Bachelor of Science (BSc), Mathematics and Computer Science
Grade: First-Class Honours
Earned a first-class honours BSc in Mathematics and Computer Science at Queen Mary University of London.
Queen Mary University of London
Master of Science (MSc), Computer Science
Grade: Merit
Completed an MSc in Computer Science at Queen Mary University of London, graduating with a merit.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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