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Credit Quantitative Analyst - Global Macro

Point72 Careers

London

On-site

GBP 80,000 - 100,000

Full time

30+ days ago

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Job summary

Join a leading global alternative investment firm as a Credit Quant Analyst in London. This exciting role involves building innovative tools and conducting in-depth data analysis to identify market trends and alpha-generating opportunities in credit markets. You will develop systematic RV screens, custom portfolio tracking systems, and data visualization tools to support the portfolio manager. With a commitment to ethical standards and fostering a culture of long-term growth, this firm seeks to attract the brightest talent in the industry. If you are passionate about quantitative research and financial markets, this is the opportunity for you!

Qualifications

  • 3-5 years in quant research or development in financial services.
  • Strong proficiency in Python and SQL is essential.

Responsibilities

  • Build tools and conduct data analysis to identify market trends.
  • Develop systematic RV screens and models for strategy research.

Skills

Python programming
Data manipulation (Pandas, NumPy, SciPy, Scikit-learn)
Analytical skills
Problem-solving skills
Critical-thinking skills
Database programming (SQL)
Experience with large datasets
Market analysis

Tools

MS Excel
AWS/cloud deployment
Bloomberg
Dash/Plotly

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 custom portfolio tracking/alerting systems
  • 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

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

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