companyStratos Labs Inc. logo

Lead Quantitative Software Engineer

Stratos Labs Inc.New York, NY
On-site Full-time $225K/yr - $375K/yr

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Mid to Senior

Qualifications

QualificationsDeep understanding of data structures, algorithms, design patterns, and core systems fundamentals. Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems. Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and ensure important tasks are completed. Demonstrated ability to navigate ambiguity, learn quickly, and independently figure things out in fast-moving environments. Exceptional problem-solving skills and ability to break down and tackle complex tasks.

About the job

  • Position: Lead Quantitative Software Engineer
  • Work Schedule: 5 days a week at NYC headquarters
  • Base Salary: $225,000 - $375,000 annually
  • Equity: Attractive initial equity package along with refreshers
  • Experience Requirement: Minimum of 4 years

About Stratos Labs Inc.

Stratos Labs Inc. is at the forefront of revolutionizing commodity risk management for the $10 trillion physical economy. By integrating real-time market data with AI-driven exposure modeling and automated trade generation, we empower operators to navigate volatility with precision. Our platform offers instant execution, ongoing monitoring, alerts, and tailored recommendations, transforming complex market risks into a seamless hedging engine that operates continuously.

Founded in 2023 by the youngest macro market-maker at Barclays and a seasoned trading systems engineer from Coinbase, we have successfully secured over $20 million in funding from prominent investors like Andreessen Horowitz (a16z), Crucible Capital, Neo, and Crossbeam Venture Partners.

Key Responsibilities

  • Design Tomorrow's Trading Infrastructure: Spearhead the development of our trading system as we expand into new markets and onboard additional clients.
  • Performance-Oriented Engineering: Construct and enhance low-latency distributed systems, ensuring optimal pricing and minimal risk.
  • Team Development: Cultivate a world-class engineering team by hiring, mentoring, and collaborating with founders on complex challenges in financial technology.
  • End-to-End Ownership: Manage critical systems from market data ingestion to order execution and risk monitoring, maintaining our clients' operations around the clock.

Qualifications

  • Thorough knowledge of data structures, algorithms, design patterns, and system fundamentals.
  • Proven experience in architecting and developing intricate financial systems, particularly in low-latency event-driven distributed systems.
  • Strong sense of ownership and teamwork, with the ability to collaborate effectively to maintain momentum and achieve goals.
  • Ability to thrive in ambiguous situations, adapt quickly, and independently navigate fast-paced environments.
  • Outstanding problem-solving skills, with a knack for breaking down and addressing complex tasks.

Preferred Skills

  • Familiarity with programming languages and tools such as Golang, Python, C++, gRPC, PostgreSQL, Kafka, and AWS.

About Stratos Labs Inc.

Stratos Labs Inc. is pioneering the development of cutting-edge commodity risk management solutions for the vast physical economy, valued at $10 trillion. With a robust platform that integrates real-time market data and advanced AI capabilities, we provide businesses with the tools necessary to manage volatility effectively. Our mission is to simplify complex market risks and deliver a continuously operational hedging engine that empowers our clients.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.