Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.
Role overview
We’re looking for Junior Technologists to kick-start or continue their career in technology with us. We want to invite smart, self-driven, inquisitive people with a strong quantitative or engineering mindset to join us. At Squarepoint, you will work alongside Senior Technologists, in small groups, to design and build the next generation of production grade trading & research software, systems, and infrastructure. Join one of Squarepoint's three technology tracks and align your interests to ours.
Select the track that best fits your career goals, qualifications, and experience.
Infrastructure track
Infrastructure design, implementation, integration, automation, optimization, and trading applications -- both on-prem or cloud. Disciplines include:
Compute: hardware, operating systems, storage
- Design and implement ultra-low latency, on-prem and cloud infrastructure to run Squarepoint’s trading and research services,
- Preferred technologies: HP/Dell/Supermicro/Lenovo hardware architecture, Virtualization, Windows Server, Linux, NFS, GPFS, ONTAP, Ansible, Python, PowerShell.
Infrastructure applications
- Design and implement microservices, real-time data streaming platforms, CI/CD, HPC schedulers to run Squarepoint’s top tier of services,
- Core infrastructure applications: Configuration management, load balancers, databases, observability tools, and container orchestration platforms,
- Preferred technologies: Linux, Slurm, Kubernetes, Gitlab, Prometheus, MSSQL, PostgreSQL, Ansible, Python.
Networks & telecom
- Design and implement the global network infrastructure to support trading, research, core technologies, and corporate systems,
- Preferred technologies: OSPF, BGP, multicast, well-versed 802.1, 802.3 and 802.11 IEEE technologies. Familiar with Layer 1 technologies including structured cabling, SFP types and connectors.
Trading & technology services support
Trade lifecycle and infrastructure support, automation & integration. Disciplines include:
Trading application support
- Support systematic trading applications, execution strategies, low latency trading gateways, and core trading services.
- Collaborate closely with internal traders, external brokers, and various development teams to resolve issues impacting the entire trade lifecycle.
- Preferred skills: Linux, kdb+/q, MSSQL, PostgreSQL, Python, Bash, FIX protocol, knowledge of financial instruments.
Trading infrastructure support
- Support the on-prem and cloud trading infrastructure services on which Squarepoint’s business critical trading services run on.
- Create and support CI/CD pipelines to automate operational tasks.
- Preferred skills: Linux, Kubernetes, MSSQL, NFS, GPFS, Python, Ansible, PowerShell, Prometheus, Gitlab
Quantitative development track
Apply your understanding of our quantitative research requirements in order to design and implement scalable data processing workflows and processes.
- Projects in this track focus on working directly with quantitative researchers to design, implement, deploy and use software for research and trading.
- Work with quantitative researchers to design and build efficient and scalable workflows for alpha generation,
- Contribute to our world-class suite of data-driven analytics across a wide range of asset classes,
- Collaborate closely with peers across our global Investment and Technology departments,
- Challenge yourself to propose and develop new solutions to problems with a direct commercial impact.
Software development track
Distributed, low latency, high performance systems
- Projects within this discipline focus on developing and maintaining performance sensitive, reliable and scalable back-ends which are critical to our trading infrastructure.
- Work on high performance, low-latency systems powering critical trading operations,
- Drive the design and implementation of trading frameworks, market data solutions and global market connectivity,
- Build massively parallel, high-volume, distributed applications to enable our technology to scale as we grow,
- Create distributed frameworks, tools, and platforms which process massive volumes of data, and underpin the stack used by other technology teams.
Applications, services, and data
- Projects within this track focus on developing and maintaining scalable services, full-stack web applications, as well as data processing algorithms, tools, and frameworks.
- Build and maintain the core tooling, libraries, and frameworks we use for developing applications at Squarepoint,
- Manage the software development lifecycle of libraries and frameworks used globally by our teams of technologists,
- Contribute to data driven applications, pipelines, and systems used to feed predictive models in research and trading,
- Work across the web stack to bring our datasets, and research or trading operations to life through backend services, beautiful UIs, or a mix of both.
All tracks
Expectations
- The majority of your time will be spent on technical project delivery,
- You will partner with stakeholders across the business to collaboratively gather requirements and feedback,
- Understand and contribute to production systems and/or infrastructure, and provide support to ensure smooth round-the-clock operations,
- Take full advantage of our learning and development initiatives for your own growth, attend relevant seminars and conferences, and learn on the job every day.
Required qualifications
- Degree in Computer Science, Electrical/Computer Engineering, Applied Math, Physics, Quantitative Finance, or Financial Engineering/MFE,
- No more than 2 full years of experience in a relevant role such as software or quant development, technology infrastructure, etc.
- Proficiency in at least one of our core languages: Python, C/C++, or KDB+/q,
- Experience with Linux - this is our operating system of choice across all tracks,
- Experience with modern software development: version control, agile development,
- Excellent written and verbal communication skills,
- Eagerness to continuously learn new technologies and develop with us,
- Ability to work well in a fast-paced, adaptable, and pressured environment.
