Engineer – Multi-Asset Arbitrage Technology

Engineer – Multi-Asset Arbitrage Technology

LondonNew York

Posted 116 Days Ago

With respect to NY, CA, and IL based applicants, the starting base pay range for this role is between USD 175000 and USD 225000 annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands. This role may also be eligible for bonus compensation and employee benefits.

Who You Are: The Ideal Candidate Profile

• You thrive in a fast-paced, high-stakes environment. You can either hit the ground running or are an exceptionally fast learner.

• You possess the discipline for deep, focused work, yet are highly effective at context-switching and managing multiple priorities when the business demands it.

• You are a pragmatic engineer who makes judicious trade-offs, understanding when to optimize for immediate business impact and when to build for long-term scalability.

• You are deeply motivated to push boundaries and are not afraid to step outside your comfort zone to solve a problem.

• You possess a fundamentals-first approach to engineering. While you may leverage AI to accelerate your workflow, your core skills are strong enough that you remain highly productive and effective should AI go down.

Qualifications: What You'll Bring

• A degree in Computer Science, a related technical field, or equivalent practical experience.

• 6+ years of professional software development experience. While prior experience in the financial industry is a plus, a proven track record of excellence in any domain is highly valued.

• Deep, hands-on expertise with the modern web stack, including:

• HTML, CSS, and JavaScript.

• Extensive experience with React.

• Strong UI design sensibilities with a focus on UX best practices. Experience with design tools like Figma is a plus.

• Proven experience in designing and implementing scalable web application architectures.

• The following are significant pluses:

• Experience with real-time data technologies like WebSockets, data streaming, and performance optimization for data-intensive applications to ensure they run smoothly.

• Familiarity with data visualization libraries such as D3.js, Plotly, or charting components of AG-Grid.

• Exposure to backend technologies, particularly Python, Pandas, and FastAPI.

• Familiarity with Agile/Scrum methodologies and basic DevOps principles, including CI/CD and infrastructure-as-code.