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- Tasks: Research and develop alpha signals while improving forecasting models in finance.
- Company: Global financial services firm located in the vibrant City of Westminster.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Why this job: Join a team driving innovation in financial modelling and make a real impact.
- Qualifications: PhD in a quantitative discipline with strong Python programming skills.
- Other info: Collaborative atmosphere with a focus on clear communication and presenting findings.
The predicted salary is between 42000 - 60000 £ per year.
A global financial services firm in the City of Westminster is seeking a Quantitative Researcher with a PhD in a quantitative discipline. The ideal candidate will have strong programming skills in Python and experience in data science or quantitative research.
You will research and develop alpha signals, improve forecasting models, and work collaboratively to integrate models into investment systems. Great communication skills and the ability to present findings clearly are essential. This role offers a chance to contribute to innovation in financial modeling.
Alpha Signals Quant Research Associate, Equities in City of Westminster employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Alpha Signals Quant Research Associate, Equities in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and data science knowledge. Be ready to discuss your past projects and how they relate to developing alpha signals. Practice explaining complex concepts in simple terms, as communication is key!
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. This shows initiative and gives you a better chance of standing out from the crowd.
✨Tip Number 4
Follow up after interviews with a thank-you email. Mention something specific from your conversation to remind them of your fit for the role. It’s a small gesture that can leave a lasting impression!
We think you need these skills to ace Alpha Signals Quant Research Associate, Equities in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any relevant experience in data science or quantitative research. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD and any projects that demonstrate your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing alpha signals and how your skills can contribute to our innovative approach in financial modeling. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since great communication is key for this role, make sure your application reflects your ability to present findings clearly. Whether it’s through your CV, cover letter, or any additional materials, we want to see how you can convey complex ideas simply and effectively.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative research skills and be ready to discuss your PhD work in detail. Be prepared to explain complex concepts in a way that’s easy to understand, as communication is key for this role.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, practice coding problems or projects that showcase your abilities. You might even want to prepare a small demo of a project you've worked on that involved data science or model development.
✨Prepare for Technical Questions
Expect technical questions related to alpha signals and forecasting models. Brush up on relevant theories and methodologies, and think about how you can apply them practically. Being able to articulate your thought process will impress the interviewers.
✨Practice Your Presentation Skills
Since great communication skills are essential, practice presenting your findings clearly and concisely. You could even simulate a presentation with a friend or mentor to get feedback on your delivery and clarity.
