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- Tasks: Dive into high-frequency trading strategies and conduct cutting-edge quantitative research.
- Company: Join a leading global trading firm known for innovation and excellence in quantitative finance.
- Benefits: Enjoy a competitive salary of £250K plus bonuses, with hybrid work options available.
- Why this job: Make a real impact with direct PnL responsibility while collaborating with top-tier professionals.
- Qualifications: Must have 2+ years in quantitative trading, strong coding skills in C++ and Python, and advanced degrees.
- Other info: Flexible working arrangements for the right candidate; reach out for a confidential chat!
My client is a leading quantitative trading firm that’s expanding its global research and trading teams. These roles focus on high-frequency and intraday strategies (holding periods from seconds to hours) in futures and equities. Roles are fully focused on hard quantitative research for HFT and MFT. Work is centered on alpha research, signal generation, and strategy development using large-scale market and alternative data. Positions range from more independent research roles to collaborative work embedded in established teams.
Requirements:
- Minimum 2+ years of commercial experience in a relevant quantitative trading or research role
- Background in a top-tier prop firm or quant fund preferred
- Strong academic credentials - Top tier University masters / PhD looks good
- Significant coding in C++ and Python
- Experience working on alpha research, signal generation, or strategy deployment in HFT or intraday contexts
These are high-impact roles offering direct PnL responsibility, cutting-edge infrastructure, and collaboration with experienced teams across multiple regions. Role is paying up to £250,000 + bonus and is Hybrid in London - or any of their global offices. This can be flexible for the right candidate.
If this sounds relevant to your background, or if you’d like to recommend someone, please reach out for a confidential discussion with an up to date CV.
Quantitative Researcher employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network with professionals in the quantitative trading field. Attend industry conferences, webinars, or local meetups to connect with people who work at leading firms. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your coding skills by contributing to open-source projects or creating your own projects on platforms like GitHub. Highlighting your proficiency in C++ and Python through practical examples can make you stand out to hiring managers.
✨Tip Number 3
Stay updated on the latest trends and technologies in quantitative research and trading. Follow relevant blogs, podcasts, and publications to demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and boost your confidence.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research and trading. Emphasise your coding skills in C++ and Python, as well as any specific projects related to alpha research or strategy development.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative trading and your understanding of high-frequency and intraday strategies. Mention your academic credentials and how they align with the requirements of the role.
Highlight Relevant Experience: In your application, clearly outline your commercial experience in quantitative roles, especially if you have worked at a top-tier prop firm or quant fund. Use specific examples to demonstrate your contributions to alpha research and signal generation.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in quantitative research roles.
How to prepare for a job interview at Albert Bow
✨Showcase Your Technical Skills
Make sure to highlight your coding experience in C++ and Python during the interview. Be prepared to discuss specific projects or algorithms you've worked on, as this will demonstrate your technical proficiency and relevance to the role.
✨Discuss Your Research Experience
Be ready to talk about your previous roles in quantitative research, especially focusing on alpha research and signal generation. Share examples of how your work has contributed to strategy development and any measurable outcomes you've achieved.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical thinking and quantitative skills. Practice solving relevant problems beforehand, as this will help you articulate your thought process clearly during the interview.
✨Understand the Firm's Trading Strategies
Research the firm's trading strategies and market focus, particularly in high-frequency and intraday contexts. Being knowledgeable about their approach will allow you to ask insightful questions and show your genuine interest in the position.
