Systematic Credit Trading Analyst
@ Barclays

Mumbai, Maharashtra, India
₹0
On Site
Full Time
Posted 4 days ago

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Job Details

About the Role

Join Barclays as a Systematic Credit Trading Analyst, working closely with US and European Credit Trading teams. You will provide valuable analytics support including relative valuation analysis, trading analytics, risk analytics, and creation of business critical reports.

Responsibilities

  • Provide analytical support to US or UK Systematic Credit Trading desks.
  • Maintain and enhance algo quoting efficiency and front facing dashboards.
  • Create BAU analytics on client volumes, RFQs, market share.
  • Develop relative valuation, trade ideas, and pricing support reports.
  • Collaborate with global teams in New York, London, Asia, and others.
  • Execute trades, manage risks and monitor financial markets and economic data.

Qualifications & Skillsets

Required skills include experience in systematic credit trading analytics, quantitative market data analysis, and strong proficiency in Python. Familiarity with SQL, kdb, Excel, and VBA is preferred. Strong attention to detail is essential with a zero-error tolerance required for business critical outputs.

Additional Details

The role involves working on multiple time-sensitive activities and requires proactive problem solving. You must work in alignment with regulatory and internal Barclays policies, and demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship.

Location

This position is based at Nirlon Knowledge Park, Mumbai.

Key Skills/Competency

  • Credit Trading
  • Analytics
  • Risk Management
  • Relative Valuation
  • Dashboarding
  • Python
  • SQL
  • Fixed Income
  • Algo Quoting
  • Market Analysis

How to Get Hired at Barclays

🎯 Tips for Getting Hired

  • Customize resume: Highlight systematic credit and analytical skills.
  • Research Barclays: Understand their trading strategies and culture.
  • Prepare examples: Detail times you solved time-sensitive issues.
  • Brush up on tools: Emphasize Python, SQL, and dashboard experience.

📝 Interview Preparation Advice

Technical Preparation

Review Python scripting for data analysis.
Practice SQL queries and Excel functions.
Study algorithmic trading and dashboard tools.
Revisit quantitative methods in finance.

Behavioral Questions

Describe a time you solved a tight deadline.
Explain how you manage multi-tasking responsibilities.
Share an example of proactive problem solving.
Discuss teamwork in cross-functional projects.

Frequently Asked Questions