At a Glance
- Tasks: Join a team of Traders to optimise trading strategies and make proactive decisions.
- Company: Citadel Securities, a leading global market maker with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Why this job: Work at the forefront of finance, using cutting-edge technology to drive market success.
- Qualifications: Experience in trading complex financial products and proficiency in Python, SQL, or R.
- Other info: Dynamic environment with a strong emphasis on learning and meritocracy.
The predicted salary is between 105000 - 210000 ÂŁ per year.
At Citadel Securities, a leading global market maker, our team of Traders collaborates with the brightest minds in financial markets, technology, engineering and the sciences to tackle challenges in the markets. Semi‑Systematic Traders leverage quantitative problem solving, market knowledge, game theory, and world‑class technology to generate profits through risk taking. Our Traders work with Quantitative Researchers to optimize and develop innovative trading strategies across an array of asset classes. We’re looking for extraordinary Traders who are committed to our core values that include winning, acting with integrity, continuously learning, and cultivating a meritocracy.
Responsibilities:
- Integrate discretionary trading strategies with systematic ones to provide liquidity and make proactive trading decisions.
- Use creative problem solving techniques and strategic decision‑making to optimize trade selection and execution.
- Use trading metrics and data analysis methods to improve decision‑making and find innovative ways to generate additional profits.
Qualifications:
- Experience trading complex financial products (options, ETFs, futures).
- Interest in game theory, decision theory and strategy games.
- Ability to make decisions under time constraints in high pressure situations.
- Operational leadership and strong interest in trading and technology.
- Knowledge and proficiency in Python, SQL and R.
- Effective problem‑solving skills and strategic decision‑making.
- Detail oriented, excellent written and verbal communication skills.
- Self‑starter, not afraid to question status quo.
- Bachelor’s Degree from a top university in Science, Technology, Engineering, Mathematics.
In accordance with New York City’s Pay Transparency Law, the base salary range for this role is $175,000 to $350,000. Base salary does not include other forms of compensation or benefits.
Quantitative Trader employer: Citadel Securities
Contact Detail:
Citadel Securities Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Citadel Securities 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. Be ready to discuss your experience with complex financial products and how you've used data analysis in trading decisions. Show them you’re not just a numbers person but also a strategic thinker!
✨Tip Number 3
Practice your problem-solving skills under pressure. Try mock interviews or timed exercises that mimic real trading scenarios. This will help you stay calm and collected when it counts!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Show Your Passion for Trading: When writing your application, let us see your enthusiasm for trading and the financial markets. Share any personal experiences or projects that highlight your interest in game theory and decision-making. We love to see candidates who are genuinely excited about what they do!
Be Specific About Your Skills: Make sure to detail your experience with complex financial products like options and futures. If you've used Python, SQL, or R in your previous roles, give us examples of how you applied these skills. The more specific you are, the better we can understand your fit for the role.
Highlight Problem-Solving Abilities: We’re looking for creative problem solvers! In your application, mention instances where you’ve tackled challenges under pressure. Whether it’s a project at university or a previous job, show us how you think strategically and make decisions when it counts.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Highlight how your values align with ours, especially around integrity and continuous learning. Remember, we want to see the real you, so make it personal!
How to prepare for a job interview at Citadel Securities
✨Know Your Numbers
As a Quantitative Trader, you’ll need to be comfortable with complex financial products. Brush up on your knowledge of options, ETFs, and futures before the interview. Be ready to discuss specific examples of how you've used data analysis to make trading decisions.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your creative problem-solving techniques. Think of scenarios where you had to make quick decisions under pressure. Use examples that highlight your strategic decision-making and how you’ve optimised trade selection in the past.
✨Brush Up on Game Theory
Since the role involves game theory and decision theory, it’s crucial to show your understanding of these concepts. Familiarise yourself with relevant strategies and be prepared to discuss how they apply to trading. This will show your passion for the field and your analytical mindset.
✨Technical Proficiency is Key
Make sure you’re well-versed in Python, SQL, and R. Be ready to talk about projects or experiences where you’ve used these programming languages to solve trading problems. If possible, prepare to showcase any relevant coding skills during the interview.