Senior Quantitative Researcher - PM Engagement
Senior Quantitative Researcher - PM Engagement

Senior Quantitative Researcher - PM Engagement

Full-Time 70000 - 90000 £ / year (est.) No home office possible
B

At a Glance

  • Tasks: Enhance portfolio managers' performance through quantitative analysis and model development.
  • Company: Leading investment firm in Greater London with a collaborative culture.
  • Benefits: Competitive salary, professional growth, and the chance to influence strategic decisions.
  • Why this job: Join a dynamic team and make a real impact on investment strategies.
  • Qualifications: 5+ years in equity investing, advanced quantitative skills, and Python programming.
  • Other info: Collaborative environment with opportunities for career advancement.

The predicted salary is between 70000 - 90000 £ per year.

A leading investment firm in Greater London seeks a Senior Quantitative Researcher. This role involves improving portfolio managers' performance through quantitative analysis and model development.

Candidates should possess 5+ years of experience in equity investing, advanced quantitative skills, and strong programming abilities, particularly in Python.

The position offers an opportunity to work closely with portfolio managers and contribute to strategic investment decisions within a collaborative environment.

Senior Quantitative Researcher - PM Engagement employer: Balyasny Asset Management L.P.

As a leading investment firm in Greater London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work closely with experienced portfolio managers, making a meaningful impact on strategic investment decisions. Our commitment to employee well-being is reflected in our competitive benefits package and supportive environment, making us an excellent employer for those seeking a rewarding career in quantitative research.
B

Contact Detail:

Balyasny Asset Management L.P. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Quantitative Researcher - PM Engagement

✨Tip Number 1

Network like a pro! Reach out to professionals in the investment field, especially those who work with quantitative research. A friendly chat can lead to valuable insights and even job referrals.

✨Tip Number 2

Show off your skills! Prepare a portfolio of your quantitative analysis projects or models you've developed. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Practice makes perfect! Brush up on your Python programming skills and be ready to demonstrate your coding abilities during interviews. We all know that hands-on skills are crucial in this role.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Quantitative Researcher - PM Engagement

Quantitative Analysis
Model Development
Equity Investing
Advanced Quantitative Skills
Programming in Python
Collaboration
Strategic Investment Decision-Making
Performance Improvement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your 5+ years of experience in equity investing and showcases your advanced quantitative skills. We want to see how your background aligns with the role, so don’t be shy about emphasising your programming abilities, especially in Python!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how you can improve portfolio managers' performance. We love seeing candidates who can articulate their thoughts clearly and show genuine interest in our collaborative environment.

Showcase Relevant Projects: If you've worked on any projects that involved model development or quantitative analysis, make sure to include them in your application. We appreciate candidates who can demonstrate their practical experience and how it relates to strategic investment decisions.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Balyasny Asset Management L.P.

✨Know Your Quantitative Stuff

Make sure you brush up on your quantitative analysis skills. Be ready to discuss specific models you've developed and how they've impacted portfolio performance. Prepare to explain complex concepts in a way that shows your depth of understanding.

✨Show Off Your Python Skills

Since strong programming abilities in Python are crucial, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to quantitative finance beforehand.

✨Understand the Firm's Investment Strategy

Do your homework on the investment firm and its strategies. Familiarise yourself with their portfolio management approach and think about how your skills can enhance their performance. This will show your genuine interest and help you align your answers with their goals.

✨Be Ready for Collaborative Scenarios

As this role involves working closely with portfolio managers, prepare examples of past collaborative projects. Highlight how you’ve contributed to team success and how you handle feedback. This will demonstrate your ability to thrive in a team-oriented environment.

Senior Quantitative Researcher - PM Engagement
Balyasny Asset Management L.P.

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>