{"id":924984,"url":"https://alion.io/job/midas-quantitative-developer","title":"Quantitative Developer","company":{"id":49329,"name":"Midas","domain":"getmidas.com","url":"https://alion.io/company/midas","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":12,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":473,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Istanbul, Turkey"],"countries":["TR"],"hiring_countries":["TR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Go","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-09-14T13:56:21Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-03T18:38:56Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":49},"description":"At Midas, we tackle real-world engineering challenges to reshape the future of finance. Our mission is to build the fastest and most reliable products, delivering a seamless experience that empowers everyone to manage their money effortlessly.\nMore than 4.5 million users use our product.\nBacked by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.\nRead Before You Apply\nThis role is not for everyone. We are looking for outlier engineers who:\nHave owned products end-to-end, from idea to production monitoring.\nHave managed live incidents, written post-mortems, and implemented long-term fixes.\nPassionate about delivering exceptionalproduct experiences and maximizing user impact, beyond just writing code.\nYears of experience don’t matter - what matters is the depth of ownership, incident handling, and product impact you’ve delivered.\nIf this doesn’t sound like you, no worries - Midas has other opportunities that may be a better fit.\nWhat You’ll Do\nDesign, build, and optimize automated execution and hedging systems operating across crypto exchanges and liquidity venues.\n\nDevelop execution algorithms, netting mechanisms, and dynamic hedging strategies to efficiently manage trade flow and market exposure.\n\nBuild systems to manage, rebalance, and risk-manage inventory positions resulting from trading and execution activity.\n\nOwn the full lifecycle: from quantitative research, backtesting, and simulation to implementation, deployment, monitoring, and live performance tuning.\n\nAnalyze market microstructure, order book dynamics, execution quality, slippage, and trading performance to identify opportunities and continuously improve strategies.\n\nBuild high-throughput, low-latency trading systems using Go for core execution services and Python for research, analysis, and strategy development.\n\nMake pragmatic architectural and quantitative decisions, balancing execution quality, latency, risk, reliability, and trading costs.\n\nContinuously improve live trading systems with a focus on performance, observability, resiliency, and operational excellence.\n\nWhat We’re Looking For\nStrong fundamentals in computer science, algorithms, data structures, and quantitative problem solving.\n\nHands-on experience building quantitative trading, algorithmic trading, execution, or HFT systems.\n\nStrong understanding of market microstructure, order books, execution, slippage, and liquidity.\n\nExperience with execution algorithms, netting, dynamic or delta hedging, and inventory management.\n\nDeep understanding of crypto market structure and exchange mechanics, including REST/WebSocket APIs and real-time market data.\n\nStrong experience with Go (Golang) for concurrent, high-throughput, performance-sensitive systems.\n\nProficiency in Python for research, data analysis, backtesting, simulation, and strategy prototyping.\n\nAbility to go beyond implementation: challenge assumptions, translate market behavior into quantitative hypotheses, and continuously improve execution and hedging strategies.\n\nExperience building and operating resilient, production-grade systems in 24/7 real-time markets.\n\nFamiliarity with distributed systems, event-driven architectures, queueing systems, and modern cloud environments is a strong plus.\n\nA mindset of ownership and accountability - you care about execution quality, risk, and live trading performance, not just the code.\n\nHow We Work\nFull ownership - you don’t wait, you solve.\nFirst principles mindset - you question assumptions and rebuild where needed.\nBalance speed & quality - you ship fast, but always clean.\nProduct mindset - you care about the user impact, not just the code.\n Calm under pressure - incidents happen; 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