Trader in London

Trader in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Oversee trading processes and develop expertise in systematic trading.
  • Company: Join a leading quantitative portfolio management team at Point72.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Collaborative culture focused on innovation and ethical standards.
  • Why this job: Make an impact in global markets with cutting-edge trading strategies.
  • Qualifications: 2+ years in algorithmic trading and a degree in a quantitative field.

The predicted salary is between 60000 - 80000 £ per year.

An established quantitative portfolio management team at Point72 is looking for an experienced trader to oversee the team’s trading process, contribute to its core business, and develop new areas of expertise. This is an opportunity for candidates with expertise in systematic trading to take on a leading role on the front lines of the team’s investment process.

Responsibilities:

  • Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning.
  • Execute trades in rates instruments across global OTC markets.
  • Build relationships and negotiate trades with liquidity partners to achieve best execution.
  • Monitor and support portfolio construction, execution, connectivity, and related processes.
  • Help conduct post-trading execution and transaction cost analysis and suggest ways to improve.
  • Support the international implementation of internally developed algorithms and help monitor them for any trading issues.

Requirements:

  • 2+ years of work experience in algorithmic trading and exposure to systematic macro strategies, ideally with experience in futures, fixed income, FX, and exchange‑traded global equities.
  • Undergraduate or higher degree in computer science, statistics, applied mathematics, engineering, or other quantitative discipline.
  • Familiarity with SQL and Python.
  • Familiarity with vendor trading platforms including Tradeweb and Bloomberg.
  • Detail‑oriented and vigilant about potential operational risks.
  • Strong quantitative skills and sensitivity to numbers.
  • Commitment to the highest ethical standards.

Trader in London employer: Dormont Manufacturing Co

At Point72, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. Our traders benefit from extensive professional development opportunities, access to cutting-edge technology, and a commitment to ethical trading practices, all while working in a vibrant location that encourages both personal and professional growth. Join us to be part of a team that values your expertise and empowers you to make impactful contributions in the fast-paced world of quantitative trading.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Trader in London

Tip Number 1

Network like a pro! Reach out to folks in the trading industry, especially those who work at Point72 or similar firms. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! If you've got experience with algorithmic trading, make sure to highlight specific projects or successes in conversations. We want to see how you can bring value to the team!

Tip Number 3

Stay updated on market trends and trading technologies. Being knowledgeable about the latest in systematic trading will not only impress but also help you engage in meaningful discussions during interviews.

Tip Number 4

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 Point72.

We think you need these skills to ace Trader in London

Systematic Trading
Algorithmic Trading
Futures Trading
Fixed Income Trading
FX Trading
Exchange-Traded Global Equities
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Trader role. Highlight your experience in algorithmic trading and any relevant quantitative skills. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about systematic trading and how you can contribute to our team. Keep it concise but impactful – we love a good story!

Show Off Your Skills:Don’t forget to mention your familiarity with SQL, Python, and trading platforms like Tradeweb and Bloomberg. We’re looking for candidates who can hit the ground running, so let us know what you bring to the table!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Numbers

As a trader, your quantitative skills are crucial. Brush up on your knowledge of algorithmic trading, systematic macro strategies, and the specific instruments mentioned in the job description. Be ready to discuss how you've applied these skills in past roles.

Familiarise with Trading Platforms

Make sure you’re comfortable with vendor trading platforms like Tradeweb and Bloomberg. If you’ve used them before, prepare examples of how you leveraged these tools for successful trades or analysis.

Demonstrate Ethical Standards

Point72 values high ethical standards, so be prepared to discuss how you’ve navigated ethical dilemmas in trading. Share specific instances where you prioritised integrity over profit, showcasing your commitment to ethical trading practices.

Prepare for Technical Questions

Expect technical questions related to SQL and Python. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithmic challenges can help you feel more confident during the interview.