Quant Data Analyst Python - Investment Bank

Quant Data Analyst required with expert level Python development skills to be responsible for defining and implementing automated tools to analyse issues impacting Risk-Based P&L Explain Validation, including prioritising issues impacting the Risk-Based P&L Explain validation and liaise with IT for resolution.

Qualifications and Experience Required:-

• Experience working in some Front Office, Research, control or project function within an investment bank
• Good understanding across asset classes traded in Global Markets
• Good theoretical knowledge of derivative pricing
• Working experience with PNL explains (Step Revaluation as well as Risk Based Explains) and exposure to risk factors (the Greeks)
• Expert level in Python Excel, VBA, Word and PowerPoint skill

Responsibilities

• Deep analysis of Step Reval and Risk Based results as well as investigations of differences in order to identify and correct pain points (eg booking, market data, pricing, model, etc.) with the help of IT and Quantitative Research
• Definition and creation of tools helping to identify and highlight errors affecting the Production of P&L Explains (IT or Quantitative Research) affecting the correlation between Official P&L and Risk-Based explain or reducing the level of Risk-Based P&L validation
• Maintain regular contacts with P&L, IT and Quantitative Research in order to optimize exchanges and deliveries
• This is a long-term role with an initial 12-month contract

This is a hybrid role -50/50 office/home and is paid via an Umbrella company

Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location