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- Tasks: Lead engineering support for trading systems and improve software reliability.
- Company: Two Sigma, a top quantitative investment management firm.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Why this job: Join a collaborative team to tackle complex economic challenges with cutting-edge technology.
- Qualifications: 1-5 years in Reliability Engineering and programming skills in Python, Java, or C++.
- Other info: Equal opportunity workplace with a focus on innovation and learning.
The predicted salary is between 60000 - 80000 £ per year.
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 capitalise 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. The Trading Reliability Engineering team works to improve the reliability, operability, and maintainability of our core trading systems. Their project work focuses on enabling business initiatives, reducing risk, improving visibility, and increasing operational efficiency. The team is a highly collaborative collection of engineers from a range of backgrounds (prior finance experience not required) that all share a passion to improve our systems and to learn from one another while doing so.
You Will Take On The Following Responsibilities:
- Lead engineering and operational support for multiple large distributed software applications, including much of the foundational trading infrastructure in the firm.
- Improve all aspects of software reliability of our trading environment, including observability, operability, scalability, and availability through new development and break-fix/support initiatives.
- Gathering and analyzing metrics from both operating systems and applications to assist in performance tuning and fault finding.
- Develop integral software services, tools and libraries to be utilised by our software engineering, reliability engineering, and research teams to automate processes and reduce toil.
- Partner with traders and portfolio managers to deliver business value across multiple asset classes.
You Should Possess The Following Qualifications:
- Minimum 1 year of experience required; 1-5 years of experience preferred in Reliability Engineering.
- BS/BA degree in Computer Science or another highly technical, scientific discipline.
- Ability to program (structured and OO) with one or more high level language (such as Python, Java, C++).
- Proven track record for automating processes combined with an algorithmic approach to solving problems.
- Ability to profile and debug applications in real time.
- Knowledge of relational database concepts and having the ability to construct moderately complex SQL queries.
- Trading domain and order lifecycle management knowledge is a plus.
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.
Reliability Engineer, Trading in London employer: Two Sigma
Contact Detail:
Two Sigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Reliability Engineer, Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the trading domain. Practice common reliability engineering scenarios and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for openings at StudySmarter and tailor your approach to show how you can contribute to our mission.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm and professionalism, which are key traits in any engineering role.
We think you need these skills to ace Reliability Engineer, Trading in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Reliability Engineer role. Highlight any relevant projects or technologies you've worked with, especially in software reliability and automation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about reliability engineering and how your background makes you a great fit for our team. Be sure to mention any collaborative projects or experiences that showcase your teamwork skills.
Showcase Your Technical Skills: Don’t forget to include specific programming languages and tools you’re proficient in, like Python or Java. If you have experience with SQL or any relevant software services, make sure to highlight those too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Two Sigma
✨Know Your Tech Stack
Familiarise yourself with the programming languages and technologies mentioned in the job description, like Python, Java, or C++. Be ready to discuss your experience with these languages and how you've used them in past projects.
✨Understand Reliability Engineering
Brush up on key concepts of reliability engineering, especially in the context of trading systems. Be prepared to talk about how you’ve improved software reliability in previous roles and any specific metrics you’ve used to measure success.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your algorithmic approach to problem-solving. Think of situations where you automated processes or debugged applications in real-time, and be ready to explain your thought process.
✨Collaborative Mindset
Since the role involves working closely with traders and portfolio managers, demonstrate your ability to collaborate effectively. Share experiences where teamwork led to successful outcomes, and express your enthusiasm for learning from others.