Software Engineer, Middle Office Systems - AI/ML
Point72 Asset Management - Bengaluru, India
Posted May 14, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Middle Office Systems - AI/ML Bengaluru, India A CAreer with point72's Technology TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO - Build and deliver equities trading services and execution components that directly influence trading performance and product innovation - Integrate generative AI capabilities into developer workflows and trading tools to automate code generation, testing, and operational support - Prototype and productionize AI-driven features and automation in close partnership with research, trading, and operations teams - Optimize system performance, scalability, and reliability through profiling, tuning, and capacity planning for low-latency environments - Lead testing, deployment, and observability efforts to ensure safe, auditable delivery of new features and rapid incident resolution - Mentor and coach junior engineers, elevate engineering standards, and contribute to the technical roadmap for equities technology - Drive cross-team projects to modernize execution infrastructure and build reusable platforms and developer tooling WHAT'S REQUIRED - Minimum of 3 years of professional experience in markets technology or trading technology - Demonstrated experience working as an AI-first engineer, routinely applying AI-driven approaches to solve engineering and operational problems - Hands-on experience building, maintaining, or supporting production
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