Credit Quantitative Analyst, Global Macro

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Credit Quantitative Analyst to join their dynamic team in London. This role involves building innovative tools and conducting thorough data analysis to uncover market trends and potential investment opportunities in credit markets. The ideal candidate will have a strong background in quantitative research, particularly within financial services, and will be proficient in Python and SQL. Join a forward-thinking firm that values analytical skills and ethical standards, and contribute to impactful strategies in a collaborative environment.

Qualifications

• 3-5 years of experience in quant research or development in finance.
• Strong proficiency in Python and SQL for data analysis.

Responsibilities

• Conduct in-depth data analysis to identify market trends and opportunities.
• Develop tools and models to assist with strategy research.

Skills

Python Programming

SQL

Data Manipulation (Pandas, NumPy, SciPy, Scikit-learn)

MS Excel

Data Analysis

Cloud Deployment (AWS)

Data Visualization (Dash/Plotly)

Analytical Skills

Job description

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Credit Quantitative Analyst, Global Macro, London

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Client:

Point72

Location:

London, United Kingdom

Job Category:

Finance

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EU work permit required:

Yes

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Job Reference:

c4700db9f522

Job Views:

11

Posted:

26.04.2025

Expiry Date:

10.06.2025

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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