Quantitative Trading Analyst

Quantitative Trading Analyst (Risk Architecture) Location: New York, NY (Full-Time) Category: Finance / Quantitative Trading Compensation: $140K - $300K We are on a mission to democratize access to global markets by enabling anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with total transparency. We are replacing the traditional, opaque brokerage model with a permissionless, on-chain trading stack where every transaction is verifiable via open-source code. Backed by $27.9M+ in funding from premier investors including General Catalyst, Jump, Susquehanna (SIG), and Alliance DAO, we are scaling an elite team to build the future of On-Chain Real World Assets (RWA). We are seeking a Quantitative Trading Analyst to architect and upgrade the risk management engine securing our protocol. In this role, you will bridge the gap between Traditional Finance (TradFi) derivatives and DeFi market structures. Your mandate is to quantify protocol risk rigorously, designing systems that support high-leverage trading while mathematically ensuring absolute protocol solvency. Responsibilities • Risk Engine Architecture: Architect and backtest core parameters, including maintenance margins, liquidation thresholds, and insurance fund models across diverse asset classes. • Mechanism Design: Optimize mathematical models for funding rates, open interest caps, and AMM logic to mitigate toxic arbitrage and maintain market equilibrium. • Stress Testing: Develop stochastic simulations to verify protocol solvency against extreme market volatility and "black swan" events. • System Optimization: Analyze post-trade data to identify inefficiencies in oracle or margining systems and engineer quantitative fixes. • TradFi-to-DeFi Integration: Adapt sophisticated derivative pricing models (VaR, Greeks) into gas-efficient logic suitable for on-chain execution. • Quantitative Fluency: Advanced background in Mathematics, Statistics, or Financial Engineering, with expert proficiency in Python (pandas, numpy, scipy). • Dual-Domain Expertise: Deep understanding of both TradFi derivatives (Futures pricing, options theory) and DeFi primitives (AMMs, Perpetual DEXs). • Risk Systems Experience: Proven track record of building or auditing risk engines, margin models, or liquidation systems in HFT or DeFi environments. • Market Microstructure: In-depth knowledge of the economics between liquidity providers and takers, including inventory risk, spreads, and credit. • Data Proficiency: Strong experience using SQL for complex data querying and analysis. Preferred Qualifications: • Experience with RWA markets (Commodities, FX) and their specific volatility profiles. • Familiarity with smart contract constraints (Solidity/EVM) to ensure models are implementable on-chain. • Experience with on-chain oracles (Chainlink, Pyth) and an understanding of latency and stale-data risks. • Competitive Compensation: High-tier salary plus tokens and equity. • Cutting-Edge Tech: Direct involvement in building the financial engine for on-chain RWA trading. • Elite Environment: Work alongside a highly skilled team of engineers and traders from top-tier firms. • Flexibility: Flexible work arrangements and professional development opportunities. • Impact: The opportunity to redefine how the world trades traditional assets via decentralized infrastructure. 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]. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected]. Apply tot his job