[Hiring] Quantitative Developer @Midas

Role 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.

More than 4.5 million users use our product. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.

This role is not for everyone. We are looking for outlier engineers who:

• Have owned products end-to-end, from idea to production monitoring.
• Have managed live incidents, written post-mortems, and implemented long-term fixes.
• Are passionate about delivering exceptional product experiences and maximizing user impact, beyond just writing code.

Years of experience don’t matter — what matters is the depth of ownership, incident handling, and product impact you’ve delivered. If this doesn’t sound like you, no worries — Midas has other opportunities that may be a better fit.

What You’ll Do:

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

Qualifications

• 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 go beyond implementation: challenge assumptions, translate market behavior into quantitative hypotheses, and continuously 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.
• A mindset of ownership and accountability — you care about execution quality, risk, and live trading performance, not just the code.

How We Work

• Full ownership — you don’t wait, you solve.
• First principles mindset — you question assumptions and rebuild where needed.
• Balance speed & quality — you ship fast, but always clean.
• Product mindset — you care about the user impact, not just the code.
• Calm under pressure — incidents happen; you lead with clarity and composure.

We don’t measure success by how many features you ship — but by the impact your work has on millions of users. If you thrive in high-stakes environments, love solving real problems, and own your work end-to-end, we want to meet you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.