Location: Remote - US, Canada and would consider candidates based in Puerto Rico
Compensation: $150K - $200K
We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, securing over $42 billion in customer TVL. We are seeking highly skilled and motivated Quantitative Software Engineers to drive the safe progression of future financial systems.
You will be at the intersection of quantitative finance and software engineering, driving the design and implementation of risk management and optimization strategies for major DeFi protocols. This role involves full ownership, from building robust data pipelines and core modeling platforms to deploying logic that enhances capital efficiency and risk-adjusted yields.
Key Responsibilities:
Requirements
Preferred Qualifications (Bonus Points):
Benefits
Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].
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MLabsHaskell, Rust, Blockchain & AI consultancyWe are one of the leading Haskell & Rust consultancies in the fintech, blockchain and AI space, with a passion for functional programming and open source software.
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