Job Description

Quantitative Researcher - DeFi and Yield Strategies - Dubai, UAE
Position Overview
P2P.org is seeking a Quantitative Researcher to design and implement algorithmic yield strategies for stablecoin and crypto vaults. The role involves quantitative modeling, risk assessment, and collaboration with engineering teams to develop secure and efficient DeFi yield solutions. This is a full-time contractor role offering competitive compensation and opportunities to work on cutting-edge decentralized finance projects.
Job Details
Location: UAE
Location: Dubai
Industry: Finance / Investment Banking
Function: Research / Lab
Salary: 28000-35000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Core Duties

• Research and design algorithmic yield strategies using leverage, protocol stacking, and dynamic rebalancing.
• Quantitatively assess systemic and protocol-specific risks including liquidity depth, smart contract vulnerabilities, and oracle dependencies.
• Build probabilistic models to evaluate risk, Value at Risk (VaR), and tail events using simulations such as Monte Carlo.
• Conduct stress testing under extreme market conditions including stablecoin depegs and flash loan attacks.
• Collaborate with engineers to productionize strategies, automate rebalancing, and integrate risk controls into vault infrastructure.
• Ensure strategies are securely deployed on-chain with efficient execution and robust safety checks.

Ideal Profile

• Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering.
• 2-4 years' experience in quantitative research, trading, or risk modeling, preferably within crypto, DeFi, fintech, or traditional finance.
• Proficiency in Python and libraries such as pandas, numpy, scipy, and statsmodels.
• Experience with financial forecasting, portfolio optimization, and risk simulation.
• Knowledge of Monte Carlo simulations, statistical backtesting, and time-series modeling.
• Solid understanding of DeFi concepts including AMMs, lending protocols, stablecoins, staking, and vaults.

Why Join Us

• Competitive salary package with option for crypto payments.
• Work remotely with reimbursement for equipment and co-working spaces.
• Access to wellness and mental health support programs.
• Professional growth opportunities including education sponsorship and conferences.
• Collaborative and innovation-driven culture in a leading global staking provider.

About the Company
P2P.org is the world's largest institutional staking provider with more than $10B in total value locked and over 20% market share in restaking. The company partners with global leaders in crypto and fintech, delivering secure and client-centric staking and yield solutions. With a distributed team of experts, P2P.org is shaping the future of decentralized finance through research, innovation, and product excellence.
Job Title Quantitative Researcher - DeFi and Yield Strategies - Dubai, UAE
Quantitative Researcher - DeFi and Yield Strategies - Dubai, UAE
Position Overview
P2P.org is seeking a Quantitative Researcher to design and implement algorithmic yield strategies for stablecoin and crypto vaults. The role involves quantitative modeling, risk assessment, and collaboration with engineering teams to develop secure and efficient DeFi yield solutions. This is a full-time contractor role offering competitive compensation and opportunities to work on cutting-edge decentralized finance projects.
Job Details
Location: UAE
Location: Dubai
Industry: Finance / Investment Banking
Function: Research / Lab
Salary: 28000-35000 monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Core Duties

• Research and design algorithmic yield strategies using leverage, protocol stacking, and dynamic rebalancing.
• Quantitatively assess systemic and protocol-specific risks including liquidity depth, smart contract vulnerabilities, and oracle dependencies.
• Build probabilistic models to evaluate risk, Value at Risk (VaR), and tail events using simulations such as Monte Carlo.
• Conduct stress testing under extreme market conditions including stablecoin depegs and flash loan attacks.
• Collaborate with engineers to productionize strategies, automate rebalancing, and integrate risk controls into vault infrastructure.
• Ensure strategies are securely deployed on-chain with efficient execution and robust safety checks.

Ideal Profile

• Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or Financial Engineering.
• 2-4 years' experience in quantitative research, trading, or risk modeling, preferably within crypto, DeFi, fintech, or traditional finance.
• Proficiency in Python and libraries such as pandas, numpy, scipy, and statsmodels.
• Experience with financial forecasting, portfolio optimization, and risk simulation.
• Knowledge of Monte Carlo simulations, statistical backtesting, and time-series modeling.
• Solid understanding of DeFi concepts including AMMs, lending protocols, stablecoins, staking, and vaults.

Why Join Us

• Competitive salary package with option for crypto payments.
• Work remotely with reimbursement for equipment and co-working spaces.
• Access to wellness and mental health support programs.
• Professional growth opportunities including education sponsorship and conferences.
• Collaborative and innovation-driven culture in a leading global staking provider.

About the Company
P2P.org is the world's largest institutional staking provider with more than $10B in total value locked and over 20% market share in restaking. The company partners with global leaders in crypto and fintech, delivering secure and client-centric staking and yield solutions. With a distributed team of experts, P2P.org is shaping the future of decentralized finance through research, innovation, and product excellence.
Post Details
Job Start Date
Salary from 28000.00
Salary to 35000.00
Number of Vacancies 1
Location -
Location City Dubai
Desired Candidate's Profile
Gender No Preference
Nationality
Candidate Current Location

Skills Required