Quantitative Developer

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.   Read Before You Apply 🚨   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. 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. What We’re Looking For •

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.