Portfolio Manager/Senior Quantitative Researcher, Systematic Equities in London

Portfolio Manager/Senior Quantitative Researcher, Systematic Equities in London

London Full-Time 48000 - 84000 € / year (est.) Home office (partial)
Millennium Management

At a Glance

  • Tasks: Join a dynamic team to conduct alpha research and develop systematic equity strategies.
  • Company: Millennium is a leading global hedge fund focused on innovative technology and data-driven returns.
  • Benefits: Enjoy flexible work locations and the chance to collaborate with top-tier professionals.
  • Other info: Ideal for those with 5+ years in quantitative research and a proven track record.
  • Why this job: Be part of a thriving investment culture that values collaboration and cutting-edge research.
  • Qualifications: Requires a degree in a quantitative field and strong programming skills in C++ or Python.

The predicted salary is between 48000 - 84000 € per year.

Portfolio Manager/Senior Quantitative Researcher, Systematic Equities Please direct all resume submissions to QuantTalentEUR@mlp.com and reference REQ-13675 in the subject. Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Job Description Portfolio Manager/Senior Quantitative Researcher with a focus on intraday or mid-frequency equities as part of a thriving, dynamic, collaborative investment team. Location Open to candidates in London, Europe (ex-Paris), and the US (with a preference for the East Coast). Principal Responsibilities Conduct alpha research and strategy development with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic global equities strategies with intraday or medium-frequency holding periods. Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process. Collaborate with the SPM and other team members in a transparent environment, specifically collaborating across books and engaging with the whole investment process (portfolio construction, risk management, etc.). Preferred Technical Skillset Strong research and programming skills. Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university. Fluent in C++ or Python. Demonstrate strong abstract reasoning and independent problem-solving skills. Preferred Experience A minimum of 5 years of experience working in a quantitative research capacity focusing on systematic equities. A proven, independent track record developing, deploying, and managing strategies in the global equities space with an inception-to-date Sharpe Ratio of 1.5+. Highly Valued Relevant Experience Experience exploring, researching, and deploying trading signals from various sources of data. Experience in quantitative finance, econometrics, and asset pricing. Curious, ambitious, self-starter mindset. Please direct all resume submissions to QuantTalentEUR@mlp.com . #J-18808-Ljbffr
Millennium Management

Contact Detail:

Millennium Management Recruiting Team

QuantTalentEUR@mlp.com

StudySmarter Expert Advice🤫

We think this is how you could land Portfolio Manager/Senior Quantitative Researcher, Systematic Equities in London

Tip Number 1

Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with people who work at hedge funds or in systematic equities. This can help you gain insights into the company culture and potentially get a referral.

Tip Number 2

Showcase your programming skills by contributing to open-source projects or creating your own quantitative models. This not only demonstrates your technical abilities but also your passion for the field, which can set you apart from other candidates.

Tip Number 3

Stay updated on the latest trends and technologies in quantitative finance. Follow relevant blogs, podcasts, and research papers to ensure you can discuss current topics during interviews, showing your enthusiasm and knowledge about the industry.

Tip Number 4

Prepare for technical interviews by practising coding challenges and quantitative problems. Websites like LeetCode or HackerRank can be great resources to sharpen your skills, especially in C++ or Python, which are crucial for this role.

We think you need these skills to ace Portfolio Manager/Senior Quantitative Researcher, Systematic Equities in London

Alpha Research
Data Analysis
Statistical Learning Techniques
Model Implementation
Back Testing
Predictive Modelling
Programming in C++

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in quantitative research and systematic equities. Emphasise your programming skills in C++ or Python, and any specific projects that demonstrate your ability to develop and manage trading strategies.

Craft a Strong Cover Letter:Write a cover letter that showcases your passion for quantitative finance and your understanding of the role. Mention your experience with alpha research, model implementation, and collaboration within investment teams to align with the job description.

Highlight Relevant Experience:In your application, focus on your past roles that involved developing predictive models and conducting data analysis. Provide specific examples of your achievements, such as successful strategies you've implemented and their performance metrics.

Follow Submission Guidelines:When submitting your application, ensure you send it to the specified email address (QuantTalentEUR@mlp.com) and include 'REQ-13675' in the subject line. This shows attention to detail and adherence to instructions.

How to prepare for a job interview at Millennium Management

Showcase Your Technical Skills

Make sure to highlight your programming expertise, especially in C++ or Python. Be prepared to discuss specific projects where you've applied these skills, particularly in developing and backtesting quantitative models.

Demonstrate Your Research Experience

Prepare to talk about your previous roles in quantitative research, focusing on your experience with systematic equities. Share examples of how you've generated ideas, gathered data, and implemented strategies that have led to successful outcomes.

Emphasise Collaboration

Since the role involves working within a collaborative investment team, be ready to discuss how you've worked with others in past positions. Highlight any experiences where you engaged with different teams or contributed to portfolio construction and risk management.

Prepare for Problem-Solving Questions

Expect to face questions that assess your abstract reasoning and problem-solving abilities. Practice articulating your thought process when tackling complex quantitative problems, as this will demonstrate your analytical mindset and independent thinking.