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- Tasks: Research alpha signals and build statistical models in finance.
- Company: Leading recruitment firm offering remote and London-based roles.
- Benefits: Competitive salaries from $200K to $2M based on experience.
- Why this job: Join a dynamic field and collaborate with top portfolio managers and traders.
- Qualifications: Over 3 years of quant research experience and a PhD/Master's in a quantitative field.
- Other info: Exciting opportunity for career growth in the finance sector.
The predicted salary is between 120000 - 200000 £ per year.
A leading recruitment firm seeks a Quantitative Researcher for roles in London or Remote. The position involves researching alpha-generating signals, building statistical models, and collaborating with portfolio managers and traders.
Candidates should have over 3 years of quant research experience and a PhD/Master's in a quantitative field. Competitive salaries ranging from $200K to $2M based on experience are offered. This is an excellent opportunity to join a dynamic field in finance.
Quantitative Researcher: Alpha Signals & ML, Remote/London employer: Fionics
Contact Detail:
Fionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher: Alpha Signals & ML, Remote/London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quant research space on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that dream job.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best work, including any alpha-generating models or statistical analyses you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your quantitative skills and problem-solving techniques. Mock interviews with friends or mentors can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quantitative Researcher: Alpha Signals & ML, Remote/London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quant research experience and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about alpha signals and machine learning. We love seeing candidates who can express their enthusiasm for the field.
Showcase Your Technical Skills: Since this role involves building statistical models, make sure to mention your technical proficiencies. Whether it's programming languages or specific tools, we want to know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Fionics
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills. Be ready to discuss your experience with alpha-generating signals and statistical models. Prepare examples of your past work that showcase your expertise and how it can benefit the team.
✨Understand the Financial Landscape
Familiarise yourself with current trends in finance, especially those related to quantitative research. Knowing how your role fits into the bigger picture will impress interviewers and show that you're genuinely interested in the field.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts clearly and concisely. You might be asked to solve a problem on the spot, so brush up on your problem-solving skills and be ready to think on your feet.
✨Showcase Collaboration Skills
Since you'll be working closely with portfolio managers and traders, highlight your teamwork abilities. Share examples of successful collaborations from your past roles, and emphasise how you can contribute to a cohesive team environment.
