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- Tasks: Join a dynamic team to analyse credit markets and develop innovative tools.
- Company: Point72 is a leading investment firm known for its cutting-edge research and technology.
- Benefits: Enjoy competitive pay, remote work options, and a vibrant company culture.
- Why this job: Make an impact in finance while working with top-tier professionals in a collaborative environment.
- Qualifications: 3-5 years in quant research, strong Python skills, and experience with large datasets required.
- Other info: This role requires an EU work permit and offers opportunities for growth in a fast-paced setting.
The predicted salary is between 43200 - 72000 £ per year.
Social network you want to login/join with: Credit Quantitative Analyst, Global Macro, London col-narrow-left Client: Point72 Location: London, United Kingdom Job Category: Other – EU work permit required: Yes col-narrow-right Job Reference: c4700db9f522 Job Views: 2 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: Role Credit Quant analyst for a discretionary long/short European credit team based in London. Responsibilities Build innovative tools and conduct in-depth data analysis and research to identify market trends, anomalies, and potential alpha-generating opportunities in credit markets Develop systematic RV screens and models to assist with strategy research Develop data visualization tools and dashboards for market analysis and to support the PM Requirements 3-5 years of relevant financial services experience in quant research or development on a sell-side trading desk or buyside firm, preferably in credit or fixed income Strong proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn) Proficiency with database programming languages including SQL Strong knowledge of MS Excel Experience dealing with large datasets Experience with AWS/cloud deployment Experience with market data sources including Bloomberg Experience with Dash/Plotly or other visualisation software Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail Commitment to the highest ethical standards #J-18808-Ljbffr
Credit Quantitative Analyst, Global Macro employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Quantitative Analyst, Global Macro
✨Tip Number 1
Network with professionals in the finance and quantitative analysis sectors. Attend industry events, webinars, or meetups where you can connect with people who work at Point72 or similar firms. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Brush up on your Python skills, especially focusing on libraries like Pandas and NumPy. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your proficiency and problem-solving abilities.
✨Tip Number 3
Familiarise yourself with the latest trends in credit markets and macroeconomic indicators. Being able to discuss current market conditions and how they affect credit opportunities during interviews will demonstrate your passion and knowledge in the field.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like Dash or Plotly. Have examples ready that illustrate how you've used these tools to derive insights from large datasets, as this is a key responsibility of the role.
We think you need these skills to ace Credit Quantitative Analyst, Global Macro
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, particularly in credit or fixed income. Emphasise your proficiency in Python and SQL, as well as any experience with data visualisation tools like Dash or Plotly.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities and requirements listed in the job description. Mention your experience with market data sources and your analytical skills, and explain why you are a good fit for the role at Point72.
Showcase Your Projects: If you have worked on relevant projects, include them in your application. Describe how you built tools or conducted analyses that led to identifying market trends or alpha-generating opportunities, showcasing your problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are clear, concise, and free of typos, as attention to detail is crucial for this role.
How to prepare for a job interview at Point72
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used data manipulation libraries like Pandas or NumPy, as well as any experience with AWS or cloud deployment.
✨Demonstrate Analytical Thinking
Prepare to discuss how you've approached complex problems in the past. Use examples that showcase your analytical and critical-thinking skills, particularly in relation to identifying market trends or anomalies in credit markets.
✨Familiarise Yourself with Market Data Sources
Since experience with Bloomberg and other market data sources is crucial, ensure you understand how to leverage these tools for analysis. You might be asked about your experience with these platforms, so having specific examples ready will help.
✨Prepare Questions About the Role
Think of insightful questions to ask about the discretionary long/short European credit team and their strategies. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
