Software Engineer - Business Analytics
Schonfeld Strategic Advisors - New York, New York, United States
Posted May 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- 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 checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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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.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer - Business Analytics New York, New York, United States The Role We are seeking a highly qualified embedded Software Engineer to join our Business Analytics team. The Business Analytics team at Schonfeld focuses on analytics, reporting and automation. As a Software Engineer you will work on building key infrastructure to help compute performance related fees for our PMs and other related projects. What you'll do - Take full ownership of an existing Python codebase, quickly become the subject-matter expert and plan the next-generation architecture. - Develop a deep understanding of the firm's complex business structures and translate that knowledge into clean, reliable code. - Build tools and automation that enable Accounting teams to execute updates efficiently with minimal manual intervention. - Design and implement a scalable reporting infrastructure to streamline the preparation and delivery of compensation reports. - Work closely with business stakeholders to understand the nuances of individual deal structures and accurately implement their calculation logic in code. What you'll bring What you need: - Bachelor's or Master's in Computer Science, Engineering, Mathematics, or related quantitative field. - 2-5 years of relevant work experience. - Strong programming skills in Python and SQL. - Interest or experience in capital markets or finance. - Strong analytical thinking, attention to detail, and clear communication skills. - Experience with Linux operating systems, Git, and cloud computing platforms. We'd love if you had: - Familiarity with a multi manager hedge fund business and PM deal structures - Experience working with accounting and
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