data engineer in investment services
Summary
The Data Engineer will design and build scalable backend systems and data pipelines to support AI-driven investment strategies. The role involves integrating generative AI models, managing microservices, and collaborating with cross-functional teams to productionize data-intensive applications.
Описание:
Point72 is a global alternative investment firm that seeks to deliver returns for investors through fundamental and systematic investing strategies across asset classes and geographies. Its AI/ML – Investment Services team develops AI solutions to transform business processes and enhance enterprise intelligence.
Задачи:
- Design and build scalable, high-performance backend systems for investment services and AI-driven applications, and own their end-to-end lifecycle
- Build and operate data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
- Integrate and productionize generative AI and large language model solutions, including model serving, embeddings, and API-based 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 with data scientists, researchers, product owners, and operations teams
- Build and maintain CI/CD pipelines, automated testing, and deployment practices
- 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 integrate data governance, access controls, and operational controls into solutions
Требования:
- Bachelor’s degree in computer science, software engineering, or a related technical field
- At least 5 years of professional software engineering experience focused on backend system engineering
- Experience building production data pipelines or data engineering solutions for batch and streaming data
- Experience developing or integrating generative AI and large language model solutions, including model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs
- Strong programming skills in one or more backend languages such as Python, Java, or Go, with the ability to design maintainable code and services
- Experience deploying and operating services on cloud and container platforms using Docker and container orchestration technologies
- Experience building CI/CD pipelines, automated testing, and infrastructure-as-code for service deployments
- Strong data skills including SQL, data modeling, and relational and non- relational data stores
- Excellent verbal and written communication skills in English and the ability to collaborate with technical and non-technical stakeholders
- Commitment to the highest ethical standards
Условия:
- 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 LGBTQ+ community
- Business travel accident insurance
- Employee assistance program
- Educational assistance reimbursement