At a Glance
- Tasks: Maintain and enhance our trading platform for low-latency market data delivery.
- Company: Two Sigma, a leading quantitative investment management firm with a scientific approach.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Equal opportunity workplace promoting diversity and inclusion.
- Why this job: Join a dynamic team tackling complex economic problems with cutting-edge technology.
- Qualifications: Degree in Computer Science and programming experience in Python, Java, or C++.
The predicted salary is between 60000 - 75000 £ per year.
Position Summary
Two Sigma is a leading quantitative investment management and trading firm.
The company applies a scientific approach to investing, combining cutting‑edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.
Two Sigma's Market Data Reliability Engineering team is growing.
We are looking for an experienced Reliability Engineer to help maintain and advance our trading platform by working closely with multiple trading teams to ensure the low‑latency delivery of market data and orders to and from exchanges and other counterparties across a wide variety of asset classes.
In this role, you will gain exposure to global market structures for numerous asset classes and low‑level performance analysis and tuning.
- You Will Take On The Following Responsibilities
- Develop, operate, and maintain the infrastructure vital to ensure that market data is processed, stabilized and redistributed in a live production environment.
- Work with trading desks to ensure successful trading and minimal outages.
- Implement and operate tools to ensure compliance with all rules and regulations.
- Work directly with exchanges, counterparties, and data providers to bring value to all the trading desks at Two Sigma.
- You Should Possess The Following Qualifications
- BS/BA degree in Computer Science or another highly technical, scientific field.
- Minimum 1 year of experience required; 5+ years of experience preferred in programming (structured and OO) with one or more high level language (such as Python, Java, C++).
- Experience with market data production support and/or trade desk support, and knowledge of market microstructure, is preferred but not required.
- Linux administration experience. In‑depth knowledge of networking technology (such as kernel bypass) is preferred, but not required.
- Proven track record of supporting live production systems.
We are proud to be an equal opportunity workplace.
We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
#J-18808-Ljbffr
Reliability Engineer, Market Data in London employer: Two Sigma
Two Sigma is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to leverage cutting-edge technology and data science to solve complex economic challenges. Based in London, the Client Services Associate role offers a dynamic environment with ample opportunities for professional growth and development, as well as the chance to work alongside talented professionals dedicated to delivering first-class service to investors. With a focus on employee well-being and a commitment to excellence, Two Sigma stands out as a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Reliability Engineer, Market Data in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Two Sigma!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Reliability Engineer, Market Data at Two Sigma.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Two Sigma.
✨Apply Directly through Our Website
When you find a suitable opening like Reliability Engineer, Market Data at Two Sigma, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Reliability Engineer, Market Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Two Sigma, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Two Sigma. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Two Sigma
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Two Sigma!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
