New York (On-Site) Highly Competitive Compensation Significant Performance Bonus Global Quantitative Investment Firm
The Opportunity
Our client is one of the worlds leading quantitative investment firms where technology sits at the heart of every investment decision. Engineers build the platforms infrastructure and systems that enable researchers portfolio managers and traders to operate at scale across global financial markets.
This is an opportunity to work on highly complex distributed systems large-scale data platforms and mission-critical applications that directly impact business performance. Engineers are given significant ownership and visibility with their work supporting one of the largest internal user bases within the organisation.
What Youll Do
Design build and maintain large-scale software systems used across the investment lifecycle.
Develop high-performance trading and execution platforms.
Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
Create scalable data pipelines that process and analyse massive datasets.
Develop distributed computing infrastructure to support complex modelling and analytics workloads.
Partner closely with Quantitative Researchers Quantitative Developers and Portfolio Managers to solve challenging technical problems.
Continuously improve system reliability performance scalability and developer productivity.
What Youll Have
Strong software engineering fundamentals including system design algorithms and data structures.
Excellent programming skills in languages such as Python Java C C# Go Rust or similar.
Experience building and operating scalable distributed systems.
Strong understanding of databases data processing and software architecture.
Ability to write clean maintainable and high-quality code.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Nice to Have
Experience building high-performance systems data platforms or cloud infrastructure.
Exposure to distributed computing large-scale analytics or machine learning systems.
Background in Computer Science Engineering Mathematics Physics or a related technical field.
Experience working in data-intensive or highly complex technical environments.
Whats In It For You
Work on business-critical systems with direct visibility across the organisation.
Solve some of the most challenging engineering problems at scale.
Collaborate with world-class engineers researchers and quantitative professionals.
Access to exceptional technology data and computing resources.
High levels of ownership and autonomy from day one.
Meritocratic environment where impact and technical excellence are rewarded.
Highly competitive compensation package with significant performance upside.
Interested in learning more Contact Revive Recruitment for a confidential discussion.
Required Experience:
IC
Job DescriptionSoftware EngineerNew York (On-Site)Highly Competitive Compensation Significant Performance BonusGlobal Quantitative Investment FirmThe OpportunityOur client is one of the worlds leading quantitative investment firms where technology sits at the heart of every investment decision. Eng...
Job Description
Software Engineer
New York (On-Site) Highly Competitive Compensation Significant Performance Bonus Global Quantitative Investment Firm
The Opportunity
Our client is one of the worlds leading quantitative investment firms where technology sits at the heart of every investment decision. Engineers build the platforms infrastructure and systems that enable researchers portfolio managers and traders to operate at scale across global financial markets.
This is an opportunity to work on highly complex distributed systems large-scale data platforms and mission-critical applications that directly impact business performance. Engineers are given significant ownership and visibility with their work supporting one of the largest internal user bases within the organisation.
What Youll Do
Design build and maintain large-scale software systems used across the investment lifecycle.
Develop high-performance trading and execution platforms.
Build research platforms and backtesting engines that enable quantitative research teams to test and deploy new ideas.
Create scalable data pipelines that process and analyse massive datasets.
Develop distributed computing infrastructure to support complex modelling and analytics workloads.
Partner closely with Quantitative Researchers Quantitative Developers and Portfolio Managers to solve challenging technical problems.
Continuously improve system reliability performance scalability and developer productivity.
What Youll Have
Strong software engineering fundamentals including system design algorithms and data structures.
Excellent programming skills in languages such as Python Java C C# Go Rust or similar.
Experience building and operating scalable distributed systems.
Strong understanding of databases data processing and software architecture.
Ability to write clean maintainable and high-quality code.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Nice to Have
Experience building high-performance systems data platforms or cloud infrastructure.
Exposure to distributed computing large-scale analytics or machine learning systems.
Background in Computer Science Engineering Mathematics Physics or a related technical field.
Experience working in data-intensive or highly complex technical environments.
Whats In It For You
Work on business-critical systems with direct visibility across the organisation.
Solve some of the most challenging engineering problems at scale.
Collaborate with world-class engineers researchers and quantitative professionals.
Access to exceptional technology data and computing resources.
High levels of ownership and autonomy from day one.
Meritocratic environment where impact and technical excellence are rewarded.
Highly competitive compensation package with significant performance upside.
Interested in learning more Contact Revive Recruitment for a confidential discussion.