Design, develop, and maintain simulation orchestration, quantitative research, financial analytics, and experiment management software. Build scalable distributed systems, testing frameworks, visualization tools, and performance-monitoring solutions. Modernize software infrastructure supporting data-driven trading decisions, debug complex systems, analyze bottlenecks, and improve accuracy, computational performance, reliability, and cost efficiency.
Position Summary
Job Location: 100 Avenue of the Americas, New York, NY 10013
Note: Company "Hybrid" work attendance policy: In-office work attendance required at the aforementioned office address for collaboration days based on each team's requirement; telecommuting/working from home is permissible for remainder of the same month.
Duties: Design and engineer simulation orchestration and financial analytical software that enable quantitative research. Develop/engineer software frameworks for experiment management and attribution analysis to measure research innovation. Design, engineer, implement, and enhance core components of the quantitative research platform. Engineer and maintain software infrastructure that assists data-driven trading decisions by modelers and portfolio managers. Modernize existing simulation and analysis software to improve accuracy, computational performance and cost efficiency. Engineer comprehensive testing frameworks to ensure reliability of mission-critical internal software systems. Gather and analyze software metrics from both operating systems and software applications to assist with performance tuning and fault finding. Design visualization tools to effectively communicate analysis results. Contribute to the architecture of high-performance, scalable software systems using both open-source and proprietary technologies.
Minimum education required: Bachelor's Degree in Computer Science, Computer Engineering, Engineering Science or related Information Technology ("IT") Degree.
Skills required: Must have knowledge of the following software skills and technologies: Python, Java, SQL; relational database concepts and complex SQL queries; ability to engineer software automation functions; ability to create software system testing processes; ability to analyze and identify causes of performance problems (e.g. bottlenecks) in software systems; knowledge of and ability to create distributed and large-scale software systems design, implementation, and maintenance; ability to debug complex software systems, including across different internal tools and teams; ability to design software systems for scalability; object-oriented programming; Linux/Unix operating systems; understanding of mathematical concepts in quantitative finance including Linear Algebra, Probability and Statistics, and Time Series Analysis; and Financial Engineering. Must also pass company's required skills assessment.
Base salary: The base pay for this role will be between $165,000 and $325,000 per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental, and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications, and experience.
#LI-DNI
Job Location: 100 Avenue of the Americas, New York, NY 10013
Note: Company "Hybrid" work attendance policy: In-office work attendance required at the aforementioned office address for collaboration days based on each team's requirement; telecommuting/working from home is permissible for remainder of the same month.
Duties: Design and engineer simulation orchestration and financial analytical software that enable quantitative research. Develop/engineer software frameworks for experiment management and attribution analysis to measure research innovation. Design, engineer, implement, and enhance core components of the quantitative research platform. Engineer and maintain software infrastructure that assists data-driven trading decisions by modelers and portfolio managers. Modernize existing simulation and analysis software to improve accuracy, computational performance and cost efficiency. Engineer comprehensive testing frameworks to ensure reliability of mission-critical internal software systems. Gather and analyze software metrics from both operating systems and software applications to assist with performance tuning and fault finding. Design visualization tools to effectively communicate analysis results. Contribute to the architecture of high-performance, scalable software systems using both open-source and proprietary technologies.
Minimum education required: Bachelor's Degree in Computer Science, Computer Engineering, Engineering Science or related Information Technology ("IT") Degree.
Skills required: Must have knowledge of the following software skills and technologies: Python, Java, SQL; relational database concepts and complex SQL queries; ability to engineer software automation functions; ability to create software system testing processes; ability to analyze and identify causes of performance problems (e.g. bottlenecks) in software systems; knowledge of and ability to create distributed and large-scale software systems design, implementation, and maintenance; ability to debug complex software systems, including across different internal tools and teams; ability to design software systems for scalability; object-oriented programming; Linux/Unix operating systems; understanding of mathematical concepts in quantitative finance including Linear Algebra, Probability and Statistics, and Time Series Analysis; and Financial Engineering. Must also pass company's required skills assessment.
Base salary: The base pay for this role will be between $165,000 and $325,000 per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental, and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications, and experience.
#LI-DNI
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What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
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- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
