The Quantitative Engineer will develop components for a trading environment, manage data pipelines, build backtesting platforms, and create risk management tools in a systematic trading context.
Human intuition. Machine intelligence. Relentless exploration.
The Role:
Responsibilities:
Requirements:
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.
Summit Securities Management LLC seeks a Quantitative Engineer to serve as a key driver in the research, development and implementation of our systematic trading environment and tooling.
- Own the end-to-end development of components that enable the business’ success, from building the foundational data pipelines and back testing to financial risk management tools.
- Design and build high-performance libraries and API’s that ingest, normalize and provide access to large scale financial datasets such as index data and market data.
- Architect and implement flexible, scalable back testing platforms to rigorously evaluate and calibrate new trading strategies across various historical regimes.
- Engineer the complete order generation, execution and position management tooling required to run the strategies in a live trading environment, accounting for capital constraints and corporate actions.
- Build and maintain the infrastructure and interactive dashboards required to monitor the real-time P&L and risk exposures of live trading portfolios.
- Apply knowledge of systematic trading such as statistical arbitrage, risk analytics, and execution research.
- Must have a Bachelor’s degree or foreign equivalent in Computer Science, Financial Engineering, Electrical Engineering, Statistics, or a related quantitative field.
- Must have 5 years of experience in the position offered or related in a quantitative research or development role.
- Must have 5 years of experience with:
- Implementing applications utilizing Python and its scientific computing stack including Pandas and NumPy for data analysis, modeling, and building production systems
- Building and delivering quantitative development projects including backtesting frameworks, data systems, and execution tools
- Leading the end-to-end development of critical business platforms from initial architecture and design through to deployment and ongoing maintenance
- Working with a variety of financial datasets and databases including index data and market data
- Engineering high-performance ingestion libraries and APIs to access normalized index data
- Building real-time P&L and risk metric infrastructure across all desk trading positions.
At our firm, our people come first. We are committed to building a culture of collaboration, where we support each other through challenges and celebrate our collective successes. We believe that the strength of a modern workplace lies in its diverse workforce—diverse in ideas, cultures, and experiences. We actively foster this environment and take pride in being an equal opportunity employer. In compliance with New York City’s Pay Transparency Law, the anticipated base salary for this role ranges from $150,000 - $250,000 annually, plus performance bonus, and based on experience and qualifications. Please note, this range excludes other components of total compensation, such as bonuses.
We offer competitive compensation packages, 401k matching, gender-neutral parental leave, and comprehensive medical, dental, and vision insurance. While we value flexibility, we believe that in-person collaboration is key to solving complex challenges, which is why we require employees to be in the office 4 days a 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, helping each other through challenges and celebrating each other's successes. We believe that modern workplaces succeed by having diverse high-performance workforces — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace 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
Fintech • Software • Financial Services
The Staff Quantitative Developer will enhance risk analytics capabilities, develop pricing libraries and risk models, and mentor engineers while working with clients.
Top Skills:
AWSAzureC++GCPJavaPython
Fintech • Financial Services
The role involves enhancing a risk platform through collaboration, software design, and development using Java and C++. Responsibilities include integrating analytics, improving performance, and ensuring quality in an Agile environment.
Top Skills:
C++Java
Financial Services
The role involves developing and improving trading tools, collaborating with various teams, and delivering innovative solutions to meet business needs.
Top Skills:
C++Python
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
