At a Glance
- Tasks: Collaborate with researchers to develop innovative trading strategies using cutting-edge technology.
- Company: Two Sigma, a leading quantitative investment management firm.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a team that values creativity and innovation in solving complex economic problems.
- Why this job: Make a real impact in finance by leveraging data science and software engineering.
- Qualifications: 1+ years of software engineering experience; strong coding skills in Python, Java, or C++.
The predicted salary is between 60000 - 80000 £ 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.
As a Software Engineer in our Modeling Engineering group, you will play a meaningful role in improving the efficiency of our modelers. Your expertise will allow Two Sigma quantitative researchers to rapidly explore and implement innovative trading strategies across global financial markets. You’ll quickly engage with new research areas, deepen your expertise with Two Sigma data and tools, maintain high coding standards, and identify impactful projects in a complex and critical field.
Responsibilities
- Partner with quantitative researchers and traders to discover and monetize the hidden value of data through data science and software engineering.
- Build and maintain a suite of analysis tools that enable their quantitative research.
- Develop and extend our trading platform to support new markets and asset classes, ensuring seamless integration and operation.
- Analyze trading performance to inform strategic improvements and decision‑making.
- Build technologies that bolster our trading businesses and drive productivity enhancements, teamwork, and risk reduction across the company.
Qualifications
- Minimum 1 year of experience required; 5+ years of experience in cutting‑edge software engineering preferred.
- A Bachelors with Honours in a relevant discipline is required or a MS degree in Computer Science, Engineering, or a related field.
- An understanding of data structures and algorithms.
- Experience with Python, Java, C or C++.
- Strong understanding of distributed systems, networking, and market microstructure knowledge is highly preferred.
- Experience in trading or finance is a plus.
Modeling Engineering - London employer: Two Sigma
Two Sigma is an exceptional employer that fosters a culture of innovation and collaboration, where engineers are empowered to work alongside quantitative researchers and traders in the heart of London. With a commitment to employee growth, Two Sigma offers extensive opportunities for professional development and engagement with cutting-edge technology in a dynamic financial environment. The company's focus on scientific approaches to investing not only drives meaningful work but also ensures that employees are at the forefront of solving complex economic challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Modeling Engineering - 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
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and software engineering. This is your chance to demonstrate how you can add value to teams like Two Sigma's.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 4
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 genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Modeling Engineering - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with Python, Java, or C++, and any relevant projects that showcase your skills in software engineering and data science. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at Two Sigma. Be sure to mention any experience you have in trading or finance, as it’s a big plus for us.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's through projects or previous roles, we love to see examples of your innovative thinking and technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Two Sigma
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python, Java, C, or C++. Be ready to discuss your experience with data structures and algorithms, as well as any projects you've worked on that showcase your software engineering prowess.
✨Understand the Financial Landscape
Familiarise yourself with market microstructure and trading concepts. Being able to speak intelligently about how your technical skills can impact trading strategies will impress the interviewers and show that you’re not just a coder but someone who understands the business.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges or hypothetical scenarios during the interview. Practice solving problems on platforms like LeetCode or HackerRank, focusing on distributed systems and networking, as these are crucial for the role.
✨Showcase Your Collaborative Spirit
Since you'll be partnering with quantitative researchers and traders, highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects, and be ready to discuss how you can contribute to a team environment at Two Sigma.
