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- Tasks: Collaborate with researchers to design trading strategies and signals.
- Company: Maven’s Systematic Alpha team uses advanced tech for methodical trading across various markets.
- Benefits: Enjoy a flexible research environment and a supportive, collaborative culture.
- Why this job: Be part of a start-up vibe without the risks, while shaping trading decisions.
- Qualifications: PhD or Master's in Math, CS, Physics, or Engineering; 5+ years in alpha research.
- Other info: Great informal culture that values creativity and innovation.
The predicted salary is between 54000 - 84000 £ per year.
Senior Quant Researcher – Systematic Equities
London
What we do:
Maven’s Systematic Alpha team deploys methodically researched strategies across futures, options, and equities, utilising some of the most advanced technology available. Our approach to trading is scientific and process-driven, with a strong emphasis on a flexible research environment, providing us with efficient means to develop, test, and deploy new ideas. We empower our team members and maximise their ability to succeed by offering an environment that is open, collaborative, and supportive. We value creativity and are aggressive in capitalising on opportunities. We take proven strategies to the next level by integrating them across diverse alphas and time horizons using cutting-edge execution technology.
The Role:
Work collaboratively with other researchers to design new strategies and trading signals. Participate in risk management discussions and have responsibilities in trading operations. You will have exposure to the entire investment pipeline.
What we\’re looking for:
- Background in Mathematics, Computer Science, Physics, or Engineering.
- PhD or Master’s degree from a high-ranking university.
- Required Mathematical skills: Advanced linear algebra, optimisation theory, statistics (including time series and high-dimensional data), machine learning, and signal processing.
- Required programming skills: Proficiency in modern Python and its numerical, statistical, and machine learning packages, with multiple years of practice. Skills in other programming languages are also appreciated. Familiarity with Linux systems, various databases, and understanding of algorithm design and complexity.
- Research experience: Minimum of 5 years in alpha research (including data exploration and feature engineering), portfolio construction, and/or execution. Understanding of extraday and intraday particularities. Main focus on equities; knowledge and practice of ETFs, futures, FX, or options trading are considered a plus.
Why you should apply:
- A flexible research environment where technology is key to our success.
- Opportunity to be highly involved in decision-making that shapes our trading.
- A collaborative environment where you’re empowered and supported to achieve your ambitions.
- The upside of a start-up without the associated risks.
- Great, friendly, informal, and highly rewarding culture.
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Senior Quant Researcher - Systematic Equites employer: Maven
Contact Detail:
Maven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Researcher - Systematic Equites
✨Tip Number 1
Familiarize yourself with the latest advancements in systematic trading strategies. Stay updated on current trends and technologies in the field, as this knowledge will help you engage in meaningful discussions during interviews.
✨Tip Number 2
Network with professionals in the quantitative research community. Attend relevant conferences or webinars to connect with others in the field, which can lead to valuable insights and potential referrals.
✨Tip Number 3
Demonstrate your programming skills by working on personal projects or contributing to open-source initiatives. This not only showcases your expertise but also highlights your passion for continuous learning and improvement.
✨Tip Number 4
Prepare to discuss your previous research experiences in detail, focusing on how you've applied mathematical concepts and programming skills to solve real-world problems. Be ready to share specific examples that illustrate your impact in past roles.
We think you need these skills to ace Senior Quant Researcher - Systematic Equites
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, programming skills, and any specific projects that demonstrate your expertise in systematic trading strategies. Use keywords from the job description to align your experience with what Maven is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative research and systematic trading. Discuss how your background in mathematics, computer science, or engineering makes you a strong candidate. Mention specific experiences that showcase your ability to work collaboratively and creatively in a research environment.
Showcase Your Technical Skills: Highlight your programming proficiency, especially in Python and any other languages you know. Provide examples of how you've used these skills in past roles, particularly in developing trading signals or conducting data analysis. This will demonstrate your technical capabilities to Maven.
Prepare for Technical Questions: Be ready to discuss your mathematical and programming knowledge during the interview process. Review concepts like linear algebra, optimization theory, and machine learning, as well as your experience with Linux systems and databases. This preparation will help you stand out as a knowledgeable candidate.
How to prepare for a job interview at Maven
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your experience in alpha research, data exploration, and feature engineering, as well as any specific strategies you've developed or contributed to.
✨Demonstrate Your Technical Skills
Make sure to showcase your programming skills, especially in Python. Be ready to discuss the numerical, statistical, and machine learning packages you are familiar with, and provide examples of how you've used them in past projects.
✨Understand the Trading Environment
Familiarize yourself with the intricacies of equities, ETFs, futures, FX, and options trading. Be prepared to discuss how these elements influence your research and strategy development.
✨Emphasize Collaboration and Creativity
Since the role involves working collaboratively with other researchers, be ready to share examples of how you've successfully worked in teams. Highlight your ability to think creatively and adapt to new ideas in a flexible research environment.
