Quantitative Developer

Job not on LinkedIn

🔥 18 hours ago

🇹🇷 Turkey – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Midas

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛡️ Insurance

💼 Consulting

💳 Fintech

💰 $11M Seed Round on 2022-02

Insurance • Consulting • Fintech

Midas is a financial technology company offering a comprehensive investment platform that allows users to trade across various financial markets, including the U. S. stock markets, Borsa Istanbul, cryptocurrencies, mutual funds, and gold certificates. The company provides a mobile application that makes it easy to sign up and start trading with low commissions and no additional charges for account maintenance or transactions. Investments through Midas are secured in partnership with Midas Menkul Değerler A. Ş. , ensuring compliance with regulatory standards and providing insurance coverage for investments up to a certain amount, backed by SIPC in the U. S. Midas aims to democratize investment by enabling users to invest small amounts in large corporations like Apple, Nike, and Google, as well as Turkish companies. The company provides extensive support and educational resources for investors, making it a user-friendly platform for managing diverse investment portfolios.

📋 Description

• Design, build, and optimize automated execution and hedging systems across crypto exchanges and liquidity venues • Develop execution algorithms, netting mechanisms, and dynamic hedging strategies to manage trade flow and market exposure • Build, rebalance, and risk-manage inventory positions resulting from trading and execution activity • Own the full lifecycle from quantitative research, backtesting, and simulation through implementation, deployment, monitoring, and live performance tuning • Analyze market microstructure, order book dynamics, execution quality, slippage, and trading performance • Build high-throughput, low-latency trading systems using Go for core execution services and Python for research and strategy development • Make architectural and quantitative decisions balancing execution quality, latency, risk, reliability, and trading costs • Improve live trading systems through performance, observability, resiliency, and operational excellence

🎯 Requirements

• Strong fundamentals in computer science, algorithms, data structures, and quantitative problem solving • Hands-on experience building quantitative trading, algorithmic trading, execution, or HFT systems • Strong understanding of market microstructure, order books, execution, slippage, and liquidity • Experience with execution algorithms, netting, dynamic or delta hedging, and inventory management • Deep understanding of crypto market structure and exchange mechanics, including REST/WebSocket APIs and real-time market data • Strong experience with Go (Golang) for concurrent, high-throughput, performance-sensitive systems • Proficiency in Python for research, data analysis, backtesting, simulation, and strategy prototyping • Ability to translate market behavior into quantitative hypotheses and improve execution and hedging strategies • Experience building and operating resilient, production-grade systems in 24/7 real-time markets • Familiarity with distributed systems, event-driven architectures, queueing systems, and modern cloud environments is a strong plus • Experience owning products end-to-end from idea to production monitoring • Experience managing live incidents, writing post-mortems, and implementing long-term fixes

🏖️ Benefits

• $80M Series B backing • Full ownership and end-to-end responsibility • Product-focused work with direct user impact • Opportunity to work on high-throughput, low-latency trading systems • Exposure to quantitative research, backtesting, simulation, deployment, monitoring, and live performance tuning