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We are looking for an experienced Senior Software Engineer to join our team in San Francisco, California. In this role, you will collaborate closely with research, finance, and data engineering teams to build and optimize systems that support trade generation, execution, and tracking. As a senior member of the engineering team, you will take the lead on major projects, drive technical excellence, and help shape the future of our engineering practices.
Job Responsibility:
Lead the design, development, and maintenance of critical trading pipelines, ensuring automation of manual processes and addressing real-world challenges such as market nuances and trade restrictions
Collaborate with data providers, banks, and brokers to manage API and data integrations, creating scalable systems for rapid onboarding of new partners
Build and expand product offerings, including packaging alpha strategies into separately managed accounts
Develop and implement key business metrics to measure the fund's performance and drive strategic improvements
Partner with senior engineers to architect high-performance systems that align with organizational goals and metrics
Work closely with management to translate business objectives into actionable technical requirements
Mentor and guide less experienced engineers, fostering a culture of technical excellence and continuous learning
Troubleshoot and debug complex system issues to ensure seamless operations and reliability.
Requirements:
Minimum of 7 years of experience building trading systems, with expertise in front, middle, or back-office operations
Strong proficiency in backend development, API development, and client-side scripting
Familiarity with cloud technologies and tools such as Atlassian Jira, Agile Scrum, and AB testing
Advanced programming skills in Python and related technologies
Exceptional written communication skills, including the ability to produce design documents, specifications, and post-mortem analyses
Proven ability to take ownership of projects and drive them to completion with minimal oversight
Solid understanding of business logic and financial systems, with a strong interest in finance and machine learning
Experience with Enfusion or similar platforms is highly desirable.
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