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PnL Quantitative Analyst | London, UK

LunaLogic

London

On-site

GBP 125,000 - 150,000

2 days ago
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Job summary

An established industry player is seeking a Product Control Quantitative Analyst with strong Python skills to join a dynamic investment banking team. This role involves ensuring the accuracy of Profit and Loss calculations, analyzing market movements, and addressing risks associated with trading activities. The ideal candidate will have a solid educational background in investment finance or IT, complemented by experience in a Front Office or Risk department. Join a collaborative environment where analytical skills and a proactive mindset are key to driving success and innovation in financial analysis.

Qualifications

  • Graduate in investment finance or IT from a top university.
  • Experience in Front Office or Risk department is essential.

Responsibilities

  • Control the trade lifecycle and validate P&L according to FRTB.
  • Implement tools to reduce P&L calculation errors and resolve issues.

Skills

Python

VBA

Analytical Skills

Communication Skills

Knowledge of Derivative Products

Risk Indicators

Education

Graduate from a top university or engineering school in investment finance

Job description

Introduction Lunalogic UK is looking for a Product Control Quantitative Analyst with strong Python skills to join one of its investment banking clients.
The team you will join is responsible for daily validation of Profit and Loss, providing explanations based on market movements, associated risks, and the effects of new trades and events impacting them.

Responsibilities:
You ensure the control of the trade lifecycle. You are particularly involved in the production, analysis, and validation of the P&L in keeping with FRTB.
With their dual role as Analyst and IT specialist, you perform control and monitoring tasks, to identify correct and incorrect points, with the help of IT and Quantitative Research.
Proactive and resolve minded, you implement analytical tools to reduce P&L calculation errors. You identify a list of priority issues impacting the P&L Explain validation and liaise with IT for resolution.

Qualifications and Skills:
Skills:

  • Graduate from a top university or engineering school in investment finance within IT.
  • Experience in Front Office or Risk department.
  • Good theoretical knowledge of derivative products and Risk indicators (P&L explain, Greeks, etc).
  • Strong analytical and communication skills (ability to clearly explain technical issues).
  • Strong IT skills in Python and VBA.
Soft Skills:
  • Strong desire to investigate and resolve issues.
  • Ability to learn quickly under time pressure.
  • Hardworking.
  • Comfortable working in a matrix reporting environment.
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