Quant Library Developer, Macro Technology
Point72 · United States
Posted 8 days ago · $200,000-$300,000
or apply directly on Point72 's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Point72 's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 26% of Point72 's roles list one
- Ghost-job risk at Point72
- low 0 stale, 0 reposted of 228 open
- Hiring momentum
- 281 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Point72 's own greenhouse board since 2026-08-03. Full hiring picture for Point72 .
About this role
As a Quant Library Developer at Point72, you will design and develop a Python-based analytics platform for the macro business, focusing on creating APIs and user interfaces for pricing and risk analytics. You will collaborate with quantitative researchers and traders to enhance analytics workflows and ensure reliable access to data through well-designed interfaces. Your role will also involve improving system performance and providing technical guidance to other developers.
- benefits
- 4/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Point72 as an employer.
What you need
- 7+ years of experience developing and supporting production Python platforms, APIs, services, or analytics applications in macro, trading, risk, pricing, or related financial markets environments
- Experience building or integrating with service-oriented platforms, including practical exposure to gRPC, Protocol Buffers, service contracts, versioning, backward compatibility, and production service support
- Strong Excel skills, including experience supporting business-critical spreadsheet workflows for trading, risk, analytics, pricing, or related financial markets use cases
- Experience integrating Python applications with lower-level analytics libraries, services, data platforms, or other production systems
- High-level understanding of quantitative analytics concepts such as pricing, valuation, calibration, curve construction, scenarios, sensitivities, and risk, with the ability to work closely with quantitative researchers on model-driven requirements
- Experience improving the performance and reliability of data-intensive or analytics-driven Python systems, including profiling, caching, asynchronous execution, scalable computation, and production troubleshooting
What you get
- Fully paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
Worth weighing
- No salary listed in the posting, but a range is provided elsewhere
- Focus on collaboration with quantitative researchers and traders may require strong interpersonal skills
- Role involves significant technical expertise in Python and analytics, which may not suit all candidates
Summarised from Point72 's posting. Read the full original.
Listed by Point72 on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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