At a Glance
- Tasks: Design and maintain high-performance data systems for systematic trading.
- Company: Join a leading firm in the fast-paced world of finance and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of data-driven trading and make a real impact.
- 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)
Senior Engineer, Systematic Data in London employer: Balyasny Asset Management L.P.
Join a forward-thinking company that values innovation and collaboration, where as a Senior Engineer in Systematic Data, you will play a pivotal role in shaping the future of systematic trading. Our dynamic work culture fosters continuous learning and professional growth, offering you the chance to work with cutting-edge technologies in a supportive environment. Located in a vibrant area, we provide competitive benefits and a strong emphasis on work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
Contact Detail:
Balyasny Asset Management L.P. Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Systematic Data in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in systematic trading. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving cloud-native systems or data handling. We want to see your passion and expertise in action!
✨Ask Smart Questions
During interviews, come prepared with insightful questions about their data systems and processes. This shows you're not just interested in the role but also genuinely curious about how they operate. It’s a great way to demonstrate your analytical mindset!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our dynamic team at StudySmarter!
We think you need these skills to ace Senior Engineer, Systematic Data in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills and experience in your application. We want to see how your background aligns with the requirements, especially your expertise in Python and cloud-native systems.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for our team.
Tailor Your Application:Don’t just send a generic application! Tailor it to reflect how your experience relates to the specific role of Senior Engineer in Systematic Data. Show us why you’re the perfect match for our dynamic team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Balyasny Asset Management L.P.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and cloud platforms like AWS. Brush up on your understanding of system architecture and database technologies, as these will likely come up during technical questions.
✨Showcase Your Collaboration Skills
Since this role requires strong collaboration with research teams, prepare examples of how you've successfully worked in a team environment. Highlight any experiences where you’ve onboarded new datasets or supported research projects, as this will demonstrate your ability to communicate effectively.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in previous roles, particularly those related to data acquisition and system performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and show how you approached and resolved issues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s systematic trading strategies and how the data team contributes to alpha discovery. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
