Acquire Me
Senior Quantitative Developer - Systematic Equities
Acquire Me, New York, New York, us, 10261
Senior Quantitative Developer - Systematic Equities
We’re partnering with a research-driven trading team hiring senior Quant Developers. This hybrid role blends quantitative research and engineering, leading the design and scaling of modern compute and backtesting environments that directly drive model performance and investment outcomes.
The team is small, collaborative, and start-up-like, backed by the scale of a leading trading firm. You’ll partner with researchers to drive model improvements, oversee production systems, and solve complex technical challenges that shape systematic and fundamental strategies.
Responsibilities
Lead end-to-end model deployment, production, and backtesting infrastructure.
Architect and scale compute and data platforms to accelerate research and model evaluation.
Collaborate with researchers to translate quantitative insights into robust, production-ready systems.
Develop APIs, frameworks, and tools that enhance research efficiency and model performance.
Mentor junior engineers and promote best practices in system design, monitoring, and optimization.
Requirements
BS or MS in Computer Science, Engineering, Math, Physics, or related field.
3+ years of full-time software development experience, strong Python skills; C++ experience is a strong plus.
Proven experience building and scaling complex, high-performance research infrastructure.
Strong systems thinking and ability to bridge engineering and research to maximize impact.
Track record of owning production systems and iterating on deployed models or platforms.
Rewards
Small, empowered teams with visible impact on research and trading.
Combine start-up style autonomy with the scale, resources, and stability of a top trading firm.
Culture focused on technical rigor, execution, and long-term system reliability.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Finance
Industries Software Development and Financial Services
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The team is small, collaborative, and start-up-like, backed by the scale of a leading trading firm. You’ll partner with researchers to drive model improvements, oversee production systems, and solve complex technical challenges that shape systematic and fundamental strategies.
Responsibilities
Lead end-to-end model deployment, production, and backtesting infrastructure.
Architect and scale compute and data platforms to accelerate research and model evaluation.
Collaborate with researchers to translate quantitative insights into robust, production-ready systems.
Develop APIs, frameworks, and tools that enhance research efficiency and model performance.
Mentor junior engineers and promote best practices in system design, monitoring, and optimization.
Requirements
BS or MS in Computer Science, Engineering, Math, Physics, or related field.
3+ years of full-time software development experience, strong Python skills; C++ experience is a strong plus.
Proven experience building and scaling complex, high-performance research infrastructure.
Strong systems thinking and ability to bridge engineering and research to maximize impact.
Track record of owning production systems and iterating on deployed models or platforms.
Rewards
Small, empowered teams with visible impact on research and trading.
Combine start-up style autonomy with the scale, resources, and stability of a top trading firm.
Culture focused on technical rigor, execution, and long-term system reliability.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Finance
Industries Software Development and Financial Services
#J-18808-Ljbffr