At a Glance
- Tasks: Design and implement a high-frequency trading platform while optimising machine learning algorithms.
- Company: Join Tower Research Capital, a leading quantitative trading firm with a collaborative culture.
- Benefits: Enjoy generous paid time off, hybrid work options, and daily free meals.
- Other info: Experience a friendly workplace with no hierarchy, just great people doing great work.
- Why this job: Make an impact in a fast-paced environment with cutting-edge technology and smart colleagues.
- Qualifications: Bachelor's degree in Computer Science or related field; strong C++ skills required.
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Description: Tower Research Capital seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site.
Responsibilities:
- Designing and implementing a low latency high-frequency trading platform
- Assisting in the development of a tick by tick backtesting research platform
- Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources
- Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
- Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity
- Creating tools to analyze data and generate insights that research decisions are based on
Qualifications:
- Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
- A strong background in data structures, algorithms, and object-oriented programming in C++
- Brilliant problem-solving abilities
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Python and/or financial markets experience is preferred but not required
Benefits:
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.
Remote Quantitative Developer, C++ - Trading Teams EMEA in Lincolnshire employer: Tower Research Capital
Tower Research Capital is an exceptional employer, offering a stimulating and collaborative work environment in the heart of London. With a strong focus on employee growth, we provide continuous learning opportunities, generous benefits, and a culture that values innovation and teamwork. Our commitment to fostering a friendly atmosphere ensures that every team member can thrive while contributing to our cutting-edge trading technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Quantitative Developer, C++ - Trading Teams EMEA in Lincolnshire
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tower Research Capital on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the technical interview by brushing up on your C++ skills and algorithms. Practice coding challenges on platforms like LeetCode or HackerRank. We all know that nailing the technical part is key to landing that Quant Developer role!
✨Tip Number 3
Show off your passion for trading and quantitative analysis! During interviews, share any personal projects or research you've done in these areas. It’ll demonstrate your enthusiasm and commitment to the field.
✨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 being part of the Tower team.
We think you need these skills to ace Remote Quantitative Developer, C++ - Trading Teams EMEA in Lincolnshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Quant Developer. Highlight your experience with C++, data structures, and algorithms, as well as any relevant projects that showcase your problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your background makes you a perfect fit for Tower's innovative environment.
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to include them. Discuss the challenges you faced and how you overcame them, especially if they relate to low-latency programming or machine learning.
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at Tower Research Capital
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills, especially around data structures and algorithms. Be prepared to discuss your past projects and how you've used C++ to solve complex problems, as this will likely come up during the interview.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading concepts and the role of quantitative developers in this space. Knowing how low-latency programming and machine learning fit into trading strategies can give you an edge in discussions.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice coding problems that require optimising algorithms or working with large datasets, as these are key aspects of the role at Tower Research Capital.
✨Showcase Your Communication Skills
Since collaboration is crucial in a trading team, be ready to demonstrate your ability to communicate complex ideas clearly. Think of examples where you've worked in a team setting and how you contributed to achieving a common goal.
