At a Glance
- Tasks: Design and maintain high-performance data systems for systematic trading.
- Company: Join a dynamic team in a leading systematic trading firm.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in the fast-paced world of systematic trading.
- Qualifications: 5+ years in software development with strong Python skills and system architecture knowledge.
The predicted salary is between 70000 - 90000 £ per year.
The Systematic Data team is seeking a highly skilled and experienced Senior Engineer to support the rapidly growing systematic trading business. Data is the lifeblood of systematic trading and the capabilities we deliver are critical to the success and scalability of the business.
As a key member of our dynamic team, you will be responsible for the design, implementation, and maintenance of cloud-native (AWS), high-performance data acquisition, storage, and retrieval systems/APIs (including real-time data). The platform must also ensure the quality and availability of our data historically and ongoing.
You are an excellent communicator, able to work directly with our systematic alpha research teams to on-board and profile new datasets into the platform and support research projects. A self-starter, you can manage time effectively across multiple projects and with competing priorities. You are highly collaborative and will build strong working relationships within our team and with our stakeholders. You are naturally curious, analytical in your approach to problems and able to deal positively with conflicting views. You are constantly looking for opportunities to further accelerate alpha discovery, reduce time to market and improve operational scale/stability through enhancements to our platform and processes, and through ensuring optimal alignment and integration with the systematic research process.
Requirements- Degree in Computer Science or a related field with computational focus
- 5+ years of hands-on development experience building and supporting production systems
- Highly skilled in Python, comfortable with different programming styles (e.g. OO, functional) and strong on design patterns
- Strong understanding of system architecture and the full technology stack (software, OS, CPU/memory, local/network storage, networking, etc.)
- Proponent of collaborative software development approaches: version control, CI/CD, automated testing, code review, refactoring, and related approaches
- Craftsman-like approach to building software, taking pride in clean and efficient code, and instilling these values in others
- Strong knowledge of one or more relevant database technologies (e.g. Postgres/MSSQL, Redshift/Snowflake, KDB/OneTick)
- Solid understanding of time-series data and temporal queries
- Linux platforms and related scripting
- Understanding of financial markets and instruments (particularly cash equities)
- Experience in a front office trading environment (e.g. hedge fund or investment bank) – ideally systematic/quantitative in nature
- Proficient in one or more OO programming languages (e.g. Java/C#)
- Experience with datasets used for cash equity research and trading
- Experience with distributed computing (e.g. Spark/Dask, Slurm/HTCondor)
- Experience with event-driven, asynchronous architectures and related messaging technologies (e.g. Kafka, MQ)
- Experience with cloud platforms (e.g. AWS, GCP, Azure)
- Experience with orchestration and container technologies (e.g. Airflow, Kubernetes, Docker)
- Experience with monitoring and alerting tools (e.g. CloudWatch, Prometheus, Grafana, Sentry/OTel)
Contact Details:
Balyasny Asset Management L.P. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Systematic Research Technology in London
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We think you need these skills to ace Senior Engineer, Systematic Research Technology in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
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How to prepare for a job interview at Balyasny Asset Management L.P.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Balyasny Asset Management L.P. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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