Credit Quantitative Analyst, Global Macro

Point72; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the financial sector is looking for a Credit Quantitative Analyst to join their discretionary long/short European credit team in London. The role involves building tools for data analysis, market trend identification, and developing visualization dashboards to support portfolio management. The ideal candidate will have 3-5 years of relevant experience and strong programming skills.

Qualifications

• 3-5 years of relevant experience in quant research or development.
• Strong proficiency in Python and data manipulation libraries.
• Experience with market data sources, data visualization tools.

Responsibilities

• Build innovative tools and conduct in-depth data analysis.
• Develop systematic RV screens and models for strategy research.
• Create data visualization tools and dashboards for market analysis.

Skills

Python programming

Data manipulation libraries

SQL

MS Excel

Analytical skills

Problem-solving

Critical-thinking

Tools

AWS/cloud deployment

Bloomberg

Dash/Plotly

Job description

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Credit Quantitative Analyst, Global Macro, London

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Client:

Point72

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

c4700db9f522

Job Views:

2

Posted:

02.06.2025

Expiry Date:

17.07.2025

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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