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- Tasks: Design and deploy cutting-edge trading algorithms using market data and innovative strategies.
- Company: Join Tower Research Capital, a leading quantitative trading firm with a global impact.
- Benefits: Enjoy generous paid time off, hybrid work options, and daily free meals.
- Why this job: Make your mark in a dynamic environment with top-tier talent and innovative technology.
- Qualifications: Degree in STEM, strong maths background, and programming skills in Python or C++.
- Other info: Collaborative culture with continuous learning opportunities and no ego.
The predicted salary is between 36000 - 60000 £ per year.
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.
As a member of one of Tower’s trading teams, a Quantitative Trader / Researcher will be using Tower’s in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.
Responsibilities
- Designing, implementing, and deploying trading algorithms
- Researching high to mid frequency alphas
- Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
- Creating tools to analyse data for patterns
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Qualifications
- A bachelors, masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
- Experience in high-frequency trading or quantitative trading is preferred but not a requirement
- A strong background in mathematics and statistics
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
- Familiarity with signal generation and statistical models
- Strong programming skills in Python and/or C++
Benefits
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
- 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 (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- 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.
Quantitative Trader / Researcher - EMEA in City of London employer: Tower Research Capital
Contact Detail:
Tower Research Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader / Researcher - EMEA in City of London
✨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 interview by brushing up on your quantitative skills. Make sure you can talk confidently about your experience with algorithms, data analysis, and programming in Python or C++. We want to see your passion for trading!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant trading strategies or data analysis tools, be ready to discuss them in detail. This is your chance to shine and demonstrate your hands-on experience.
✨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 Quantitative Trader / Researcher - EMEA in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Trader / Researcher. Highlight your relevant skills in mathematics, statistics, and programming, and don’t forget to mention any experience with algorithmic trading or data analysis.
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 great fit for Tower. Be sure to mention specific projects or experiences that relate to the job.
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to showcase your proficiency in Python and/or C++. If you’ve worked on any relevant projects, include them to demonstrate your capabilities in back-testing and statistical techniques.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process. Don’t miss out on this opportunity!
How to prepare for a job interview at Tower Research Capital
✨Know Your Algorithms
Make sure you brush up on your algorithmic trading knowledge. Be prepared to discuss specific algorithms you've worked with, how they function, and the results they produced. This shows that you not only understand the theory but also have practical experience.
✨Data is Key
Since the role involves a lot of data analysis, come ready to talk about your experience with large datasets. Highlight any tools or techniques you've used for data mining and analysis, especially in Python or C++. Being able to demonstrate your analytical skills will set you apart.
✨Brush Up on Statistics
Given the emphasis on mathematics and statistics in this role, make sure you're comfortable discussing concepts like auto-regression and Principal Component Analysis. Prepare to explain how you've applied these techniques in past projects or research.
✨Cultural Fit Matters
Tower values a collaborative and ego-free environment. During the interview, showcase your ability to work well in teams and share examples of how you've contributed to a positive team dynamic. This will help demonstrate that you align with their company culture.
