Options Portfolio Manager

Options Portfolio Manager

London Full-Time 72000 - 108000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage and develop systematic trading strategies for US markets with a focus on short-term trading.
  • Company: Join a leading proprietary trading firm expanding into London, known for its innovative strategies.
  • Benefits: Enjoy a collaborative, tech-driven environment with opportunities for growth and development.
  • Why this job: Be part of a dynamic team shaping the future of trading in a global market.
  • Qualifications: 5-10 years of experience in options trading with strong skills in Python and C++.
  • Other info: Ideal for both medium-frequency and high-frequency traders looking to make an impact.

The predicted salary is between 72000 - 108000 Β£ per year.

Our client is a proprietary trading firm specialising in systematic strategies across global markets, with established offices in Chicago, New York, and Dubai. As part of its continued international growth, the firm is opening a new office in London and is seeking an experienced Options Portfolio Manager to join its team.

The successful candidate will be responsible for developing and managing systematic trading strategies for US markets including CME, CBOT and ICE. The role will focus on intra-day to short-term trading, with typical holding periods ranging from same-day to five days. This opportunity is open to both medium-frequency (MFT) and high-frequency (HFT) traders with strong quantitative and programming backgrounds.

The position involves extensive use of Python and C++ to research, implement, and optimise trading strategies within a collaborative, technology-driven environment.

Key Requirements
  • 5–10 years’ experience at a profitable options group at a dedicated market maker, prop shop, hedge fund, bank or family office.
  • Proficiency in Python and C++ for strategy development and optimisation.
  • A proven and verifiable track record of profitable trading performance.

Options Portfolio Manager employer: Stephenson Executive Search

As a leading proprietary trading firm, our London office offers an exceptional work environment that fosters innovation and collaboration among talented professionals. We prioritise employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. Join us to be part of a dynamic team where your contributions directly impact our success in the fast-paced world of systematic trading.
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Contact Detail:

Stephenson Executive Search Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Options Portfolio Manager

✨Tip Number 1

Network with professionals in the trading industry, especially those who work in systematic trading. Attend relevant conferences or meetups in London to connect with potential colleagues and learn more about the firm's culture.

✨Tip Number 2

Showcase your programming skills by contributing to open-source projects or creating your own trading algorithms. This not only demonstrates your proficiency in Python and C++ but also highlights your passion for trading.

✨Tip Number 3

Prepare to discuss your previous trading strategies and their outcomes in detail during interviews. Be ready to explain your thought process, the tools you used, and how you adapted to market changes.

✨Tip Number 4

Stay updated on market trends and news related to options trading. Being knowledgeable about current events can help you engage in meaningful conversations during interviews and demonstrate your commitment to the field.

We think you need these skills to ace Options Portfolio Manager

Options Trading Expertise
Systematic Trading Strategies
Quantitative Analysis
Python Programming
C++ Programming
Data Analysis
Risk Management
Market Research
Performance Optimisation
Algorithm Development
Statistical Modelling
Attention to Detail
Collaboration Skills
Adaptability in Fast-Paced Environments

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in options trading, particularly within systematic strategies. Emphasise your proficiency in Python and C++, as well as any relevant achievements in previous roles.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for trading and your understanding of the firm's focus on systematic strategies. Mention specific experiences that demonstrate your ability to develop and manage trading strategies effectively.

Highlight Quantitative Skills: In your application, be sure to detail your quantitative skills and programming expertise. Provide examples of how you've used these skills to optimise trading strategies in past positions.

Showcase Your Track Record: Include a section in your application that outlines your proven track record of profitable trading performance. Use quantifiable metrics where possible to illustrate your success and impact in previous roles.

How to prepare for a job interview at Stephenson Executive Search

✨Showcase Your Technical Skills

Make sure to highlight your proficiency in Python and C++. Be prepared to discuss specific projects or strategies you've developed using these languages, as this will demonstrate your technical expertise and relevance to the role.

✨Demonstrate Your Trading Experience

Come ready to discuss your past trading experiences, particularly focusing on your time at options groups or market makers. Share specific examples of your profitable trading performance and the strategies you employed to achieve success.

✨Understand Systematic Trading Strategies

Familiarise yourself with systematic trading strategies, especially those relevant to intra-day and short-term trading. Being able to articulate your understanding of these strategies will show that you're aligned with the firm's focus and can contribute effectively.

✨Prepare for Technical Questions

Expect technical questions related to trading algorithms and strategy optimisation. Brush up on your quantitative skills and be ready to solve problems or discuss scenarios that may arise in a trading environment.

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