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- Tasks: Join our systematic Equities team to research and develop new trading signals.
- Company: Verition Fund Management is a leading multi-strategy hedge fund with a strong track record.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Be part of a unique investment process that blends systematic and fundamental strategies.
- Qualifications: 1-3 years in quantitative roles; expertise in Python and equities data required.
- Other info: Open to candidates from various backgrounds, including buy-side and sell-side experiences.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a Quantitative Researcher to join a systematic Equities team in London.The team’s approach is unique, working at the intersection of the systematic and fundamental investment processes, with a strong track record of alpha-generation.This is a front-office role, you will be involved in the whole investment process with a direct contribution into the team’s bottom line.You will be given the opportunity to steer the role in your preferred direction, as you focus more on the alpha-generation angle or on the infrastructure angle over time.
Responsibilities
- Help management and scaling-up of a quantamental, mid-frequency, equities portfolio
- Day-to-day oversight fo theproduction processes
- Research and develoment of new signals: including idea generation, data ingestion, research and trading
- Build-out of the systematic trading infrastructure
Required Qualifications
- 1-3 years as a Quantitative Researcher, Quantitative Developer, Data Analyst or Data Scientist
- Experience with equities and equities data (alternative data, market data, fundamental data)
- BSc / MSc / PhD in technical discipline from a top university
- Experience using Python in a production setting (expertise in Pandas, Numpy, Airflow…
Preferred Qualifications
- Exposure to the systematic trading process
- Experience with cloud infrastructure (AWS preferred) with working knowledge of multiple AWS services (S3, EC2, EKS, SQS, Redshift, IAM, …)
- Experience working in a Linux environment
- Exposure to the fundamental investment process (e.g. Data Analyst working alongside fundamental PMs)
- Experience with web-scraping
- Experience with execution, TCA and commercial risk-models
- Open to candidates from the buy-side (HF and asset managers), sell-side (Equity research) and alternative data vendors
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Junior Equity Quant Researcher employer: Verition Fund Management LLC
Contact Detail:
Verition Fund Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Equity Quant Researcher
✨Tip Number 1
Familiarise yourself with Verition's investment strategies and recent performance. Understanding their unique approach to systematic and fundamental processes will help you tailor your discussions during interviews.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like Pandas and Numpy. Being able to demonstrate your coding proficiency in a practical context can set you apart from other candidates.
✨Tip Number 3
Gain insights into the cloud infrastructure, particularly AWS services. Having hands-on experience or projects that showcase your ability to work with cloud technologies will be beneficial for this role.
✨Tip Number 4
Network with professionals in the quantitative finance space. Engaging with current employees or attending relevant industry events can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Junior Equity Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, data analysis, and any specific skills mentioned in the job description, such as Python proficiency and familiarity with equities data.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and your understanding of Verition's unique approach. Mention how your background aligns with their focus on alpha-generation and systematic trading.
Highlight Relevant Projects: If you have worked on projects involving systematic trading, data ingestion, or signal development, be sure to include these in your application. Provide specific examples of your contributions and the outcomes.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects attention to detail, which is crucial in a quantitative role.
How to prepare for a job interview at Verition Fund Management LLC
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any relevant libraries like Pandas and Numpy. Be prepared to discuss specific projects where you've used these skills in a production setting.
✨Understand the Quantamental Approach
Familiarise yourself with the concept of quantamental investing, which combines quantitative and fundamental analysis. Be ready to explain how you can contribute to both aspects during the interview.
✨Demonstrate Your Research Abilities
Prepare to discuss your experience in generating new trading signals and conducting research. Bring examples of past projects where you successfully developed and implemented new ideas.
✨Be Ready for Technical Questions
Expect technical questions related to systematic trading processes and cloud infrastructure, especially AWS. Brush up on your knowledge of services like S3 and EC2, and be ready to explain how you've used them in previous roles.
