{"id":3153268,"url":"https://alion.io/job/emcd-quant-desk-lead-and-portfolio-manager","title":"Quant Desk Lead and Portfolio Manager","company":{"id":730,"name":"EMCD","domain":"emcd.io","url":"https://alion.io/company/emcd","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"DeFi","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-23T13:31:43Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T21:09:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a Quant Desk Lead and Portfolio Managerto lead the systematic quant desk across both funds. This is not a pure research role, the person will own the book, the research platform, execution, risk monitoring, and P&L.\nSystematic quantitative is the largest allocation across our funds. We need someone who can bring live strategies, validate them properly, and move from research to production in weeks, not quarters.\nResponsibilities\nLead the quant desk and run its book across both funds\nOwn P&L, position sizing, execution, hedging, leverage, and exposure within the risk policy\nResearch, build, test, and deploy systematic strategies into live trading\nOwn the research platform end to end: data ingestion, backtesting, execution, and live risk monitoring\nSet the standard for realistic backtesting, including fees, funding, slippage, fills, turnover, and capacity\nDecide what brings the existing statistical arbitrage sleeve live or what should replace it\nReport weekly on performance, risk, and attribution to the CIO and Risk Manager\nRequirements\nLive track record running market-neutral, long-short, statistical arbitrage, funding arbitrage, or cross-exchange arbitrage strategies with real capital\nExperience with systematic / code-based trading, not only discretionary or long-only strategies\nVerifiable performance net of realistic trading costs\nStrong understanding of crypto derivatives: perpetual futures, funding, liquidation dynamics, margin, and risk\nFull-stack ownership from data to execution: strong Python in production, not only research notebooks\nStrong validation discipline: out-of-sample testing, walk-forward testing, multiple-testing correction\nAbility to assess whether an edge survives turnover, fees, spreads, slippage, and capacity constraints\nComfortable being the sole owner of the desk at the outset, without a research team behind them\nNice to Have\nMSc or PhD in mathematics, finance, computer science, or another STEM field\nPortfolio management experience across crypto, equities, and options\nMarket-neutral or multi-manager pod experience\nCross-exchange collateral management experience\nFamiliarity with DeFi market structure, tokenized securities, AI and robotics equities\nWhat we offer:\nExisting infrastructure: multi-exchange data pipelines, historical data, signal library, backtesting engine, execution and monitoring on Google Cloud\nLicensed fund structure with independent monthly NAV and independent Risk Manager\nSelf-custody through an MPC wallet\nShort decision chain and a fast route from strategy production to live capital\nCompensation:\nThe role combines a competitive fixed component with direct participation in the performance of the book:\nFixed compensation\nThe PM receives 20% of P&L above an 11% annual hurdle, after the desk's own costs\nThe incentive is subject to a high-water mark and loss carry-forward, aligning compensation with sustained rather than one-period performance\n50% of the performance award is paid on determination, with the remaining 50% deferred for twelve months and subject to 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