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- Tasks: Manage portfolio risk and oversee automated trade execution while leading a team of researchers.
- Company: Join Cubist Systematic Strategies, a cutting-edge affiliate of Point72, focused on innovative trading strategies.
- Benefits: Enjoy competitive pay, remote work options, and access to advanced data resources.
- Why this job: Be part of a dynamic team driving financial innovation and making impactful investment decisions.
- Qualifications: Must have a Master's or Ph.D. and 10 years of experience in quantitative model development.
- Other info: Ideal for those passionate about finance and eager to explore market anomalies.
The predicted salary is between 72000 - 108000 £ per year.
Join to apply for the Quantitative Portfolio Manager role at Point72.
Overview
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role
- Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
- Overseeing automated trade execution and monitoring transaction costs.
- Supervising a small team of researchers and developers on a daily basis.
- Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
- Performing research to acquire historical and production data sources needed to build investment models.
- Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
- Engineering investment models that will make buy and sell recommendations for the portfolios using advanced quantitative mathematics, statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
- Using quantitative models to value securities.
- Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
- Developing aspects of successful statistical models, focusing on forecasting and optimization.
- Expanding trading universe and volume and expanding to other exchanges and products.
Requirements
- Advance degree (Masters or Ph.D.) in a computational or analytical field.
- Minimum of 10 years’ experience developing, researching or implementing quantitative models for equities, futures and/or FX.
- Hands-on experience with all aspects of the research process, including methodology, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
- Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Finance and Sales
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Quantitative Portfolio Manager employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Portfolio Manager
✨Tip Number 1
Network with professionals in the quantitative finance field. Attend industry conferences, webinars, or local meetups to connect with people who work at firms like Cubist Systematic Strategies. Building relationships can often lead to insider information about job openings and company culture.
✨Tip Number 2
Stay updated on the latest trends and technologies in quantitative finance. Follow relevant blogs, podcasts, and research papers to deepen your understanding of market anomalies and quantitative modelling techniques. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 3
Consider contributing to open-source projects or developing your own quantitative models. Showcasing your practical skills through a portfolio of projects can set you apart from other candidates and provide concrete examples of your expertise during discussions.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Familiarise yourself with common algorithms and statistical methods used in the industry, as this will help you demonstrate your analytical skills effectively.
We think you need these skills to ace Quantitative Portfolio Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative finance, particularly your work with equities, futures, and FX. Emphasise your advanced degree and any specific projects that showcase your skills in developing and implementing quantitative models.
Craft a Strong Cover Letter: In your cover letter, express your passion for financial markets and your innovative approach to quantitative research. Mention specific examples of how you've successfully managed portfolio risk or developed investment strategies in the past.
Showcase Technical Skills: Clearly outline your technical skills related to quantitative modelling, data analysis, and algorithm development. Include any programming languages or software tools you are proficient in that are relevant to the role.
Highlight Leadership Experience: If you have experience supervising teams or leading projects, make sure to highlight this in your application. Discuss how you have guided researchers or developers in previous roles and the impact of your leadership on project outcomes.
How to prepare for a job interview at Point72
✨Showcase Your Technical Skills
Be prepared to discuss your experience with quantitative models in detail. Highlight specific projects where you've developed or implemented these models, and be ready to explain the methodologies you used, as well as the outcomes.
✨Demonstrate Your Research Acumen
Since the role involves rigorous research, come equipped with examples of how you've conducted research in the past. Discuss your approach to data collection, analysis, and how you've applied your findings to real-world scenarios.
✨Highlight Team Leadership Experience
As you'll be supervising a small team, it's crucial to convey your leadership style. Share experiences where you've successfully managed teams, mentored colleagues, or led projects, focusing on how you foster collaboration and innovation.
✨Express Your Passion for Financial Markets
The company values curiosity about financial markets and human behaviour. Be sure to articulate your interest in these areas during the interview. Discuss any relevant trends or anomalies you've noticed and how they could impact trading strategies.
