Point72Data Engineer, Investment Services
AI in this role
A Career with Point72's AI/ML – Investment Services Team
The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.
WHAT YOU'LL DO
- Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle
- Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
- Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows
- Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security
- Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response
- Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams
- Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services
- Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap
- Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions
WHAT'S REQUIRED
- Bachelor's degree in computer science, software engineering, or a related technical field
- At least 5 years of professional software engineering experience with a focus on backend system engineering
- Experience building production data pipelines or data engineering solutions for batch and streaming data
- Demonstrated experience developing or integrating generative AI and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs
- Strong programming skills in one or more backend languages such as Java, Python, or Go, with demonstrated ability to design maintainable code and services
- Experience deploying and operating services on cloud platforms and container platforms using Docker and container orchestration technologies
- Proven experience building CI/CD pipelines, automated testing, and infrastructure-as-code for service deployments
- Strong data skills including SQL, data modeling, and experience with both relational and non-relational data stores
- Excellent verbal and written communication skills in English and demonstrated ability to collaborate with technical and non-technical stakeholders
- Commitment to the highest ethical standards
WE TAKE CARE OF OUR PEOPLE
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Sports card
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We're looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at https://point72.com/locations/warsaw-office
How we rate this
Data Engineer, Investment Services at Point72 rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Fine Tuning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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