At a Glance
- Tasks: Design and deploy trading algorithms while analysing market data for patterns.
- 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 social events and continuous learning opportunities.
- Why this job: Make an impact in a fast-paced environment with top-tier talent and innovative technology.
- Qualifications: Degree in STEM, strong maths background, and programming skills in Python or C++.
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 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 solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Trader / Researcher - EMEA
✨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 us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills. Dive into topics like algorithm design and statistical models. We want to see your passion for trading and problem-solving!
✨Tip Number 3
Showcase your projects! If you've worked on any trading algorithms or data analysis tools, make sure to highlight them during interviews. We love seeing practical applications of your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Trader/Researcher role. Highlight any relevant projects or coursework in mathematics, statistics, or programming that showcase your capabilities.
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 any specific experiences that relate to algorithmic trading or data analysis.
Showcase Your Technical Skills:Since this role requires strong programming skills, make sure to include any relevant programming languages you’re proficient in, especially Python and C++. If you've worked on any projects involving back-testing or statistical techniques, don’t forget to mention those!
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 about the role and our company culture there!
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. Tower values innovation, so think about how you can bring fresh ideas to the table.
✨Data is Key
Since the role involves a lot of data analysis, be ready to showcase your data-mining skills. Bring examples of how you've dealt with large datasets in the past, and be prepared to discuss statistical techniques like auto-regression or Principal Component Analysis that you've used.
✨Programming Proficiency
You’ll need solid programming skills, especially in Python and/or C++. Brush up on your coding skills and be ready to solve problems on the spot. Consider practicing coding challenges that relate to trading algorithms to demonstrate your proficiency.
✨Cultural Fit Matters
Tower prides itself on a collaborative and ego-free environment. During the interview, show your enthusiasm for teamwork and how you can contribute to a positive workplace culture. Share experiences where you’ve thrived in a team setting and how you value collaboration.
