As a Software Engineer for Options Trading, you'll design and optimize trading systems, collaborating with traders to implement strategies and improve performance within a fast-paced environment.
Human Intuition. Machine Intelligence. Relentless Exploration.
The Role
Responsibilities
The Tech Stack
You Bring
Bonus Points For
Ideal Profile
We Offer
Exceptional trading emerges where human intuition meets frictionless experimentation. Our platform and processes enable traders to rapidly investigate ideas, identify emergent patterns, and convert insights into live strategies. This synthesis creates a flywheel of discovery — the key to our pursuit of excellence.
We are looking for an elite Software Engineer to join our options trading team with a heavy focus on technology, advanced statistics, massive time-series data, and high-performance systems.
You will work side-by-side with traders and researchers to implement strategies, optimize trading systems, and expand the team’s core platform. This role requires both engineering rigor and strong interpersonal judgment: you will own key projects end-to-end, develop a deep understanding of stakeholder needs, translate trading and research requirements into clean technical designs, and deliver robust systems for real-world trading problems.
This is a high-responsibility role for someone who enjoys solving complex, volatility-centric problems in a fast-moving, startup-like environment.
- Build Trading Systems: Design, implement, and improve systems that support options trading strategies, research workflows, and live trading infrastructure.
- Own Core Projects: Take projects from ambiguous stakeholder need through design, implementation, testing, deployment, and iteration.
- Optimize Performance: Apply deep systems knowledge to improve latency, throughput, reliability, and scalability across performance-sensitive components.
- Engineer Clean Frameworks: Build reusable, maintainable software frameworks that accelerate trader and researcher experimentation.
- Work Close to the Desk: Collaborate directly with traders and researchers to understand strategy requirements, diagnose system behavior, and ship practical solutions.
- Solve Low-Latency Problems: Select appropriate data structures, algorithms, and architectural patterns for highly specific, performance-critical use cases.
The Tech Stack
We believe in using the right tool for the job. For this role, you will primarily work with:
- Core Languages: C++ is the primary language for performance-sensitive systems. Elite proficiency with modern C++, OOP, templates, and multithreaded programming is essential.
- Systems & Architecture: Modern computing systems, micro-architecture, concurrency, memory management, and high-performance design.
- Networking: Direct use of sockets and network programming APIs for latency-sensitive applications.
- Trading Infrastructure: Strategy implementation, research tooling, market data systems, and components that interface with live trading workflows.
- Data & Research Workflows: Large-scale time-series data, volatility-focused analysis, and systems that help traders rapidly explore and test ideas.
You Bring
- Experience: 5+ years of elite software engineering experience in production systems.
- Education: Undergraduate degree in Computer Science, Computer Engineering, or a closely related engineering discipline.
- C++ Expertise: Deep command of C++, object-oriented design, templates, concurrency, and multithreaded programming.
- Systems Fluency: Strong understanding of modern computing systems and micro-architecture.
- Networking Depth: Experience with network programming APIs, including direct socket-level programming.
- Computer Science Fundamentals: Ability to match the right data structures and algorithms to specific low-latency engineering problems.
- Architecture Judgment: Proven experience designing, improving, and maintaining clean, reusable frameworks.
Bonus Points For
- Trading Systems Experience: Experience building automated trading systems, such as feed handlers, order management systems, market data systems, or strategy execution platforms.
- Low-Latency Optimization: A track record of intense performance tuning, profiling, and latency reduction.
- Product Ownership: Experience leading full product life-cycle development, from design through production deployment.
- Market Fluency: Familiarity with financial markets, options, volatility, or electronic trading.
- Advanced Education: Graduate degree in Computer Science, Computer Engineering, or a related technical field.
Ideal Profile
- High Ownership: You are comfortable taking responsibility for important systems and driving projects through ambiguity.
- Performance-Minded Engineer: You care about correctness, latency, reliability, and clean abstractions — and you know how to make the right tradeoffs.
- Practical Systems Thinker: You can translate complex trading needs into systematic, maintainable engineering designs.
- Collaborative Builder: You enjoy working directly with traders, researchers, and engineers, and you communicate clearly across technical and non-technical stakeholders.
- Startup Mentality: You are energized by a fast-growing team where priorities evolve quickly and individual impact is high.
- On-Site Presence: Willingness to work in-office 4 days per week, driving impact through close collaboration with the team.
We Offer
The anticipated base salary for this role is $175,000 - $250,000. This range is representative of starting base salaries at Summit Securities Group; the final offer and placement within this range will be based on job-related factors such as relevant experience, skills, and location. Please note that base salary is only one component of our total compensation package and does not include performance-based bonuses.
We offer competitive compensation, 401(K) matching, gender-neutral parental leave, and comprehensive medical, dental, and vision insurance. We believe that working together in person is key to tackling the complex challenges we face, which is why this role will require being in the office 4 days per week. In-office perks include lunch stipends, fully stocked kitchens, happy hours, and a great location with amazing colleagues.
Our top priority is our people. We invest in a culture that promotes togetherness — supporting one another through challenges and celebrating our collective successes. We believe that modern workplaces thrive on diverse, high-performance workforces across ideas, cultures, and experiences. We are committed to making this environment a daily reality and are proud to be an equal opportunity employer.
Summit Securities Group New York, New York, USA Office
55 Broadway, New York, New York, United States, 10006 3008
Similar Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead and mentor a data engineering team building scalable customer-focused data solutions. Hands-on technical ownership, architecture guidance, and delivery of data ingestion, transformation, and reporting. Advance AI-enabled development practices, set technical standards, and foster a collaborative, accountable engineering culture to improve speed, quality, and reliability.
Top Skills:
Agentic Coding WorkflowsAirflowBigQueryCustomer Data Platform (Customer 360)DatabricksDatadogKafkaPythonSnowflakeSQLTerraform
Fintech • Healthtech • HR Tech • Information Technology • Financial Services • Telehealth
Owner of Empathy's business value agenda: build frameworks and infrastructure to prove ROI, run experiments with Sales/Product, coordinate cross-functional work, set and track goals, promote AI adoption, and drive ad hoc commercial priorities alongside leadership.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Field-based sales and enrollment role to prospect, enroll, and support Essential Plan-eligible members through B2B and community channels. Build provider and community relationships, present product information, manage pipeline, meet enrollment targets, perform local travel, and record interactions in internal systems while providing member service and outreach.
Top Skills:
ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordSalesforce
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
