Model Validation - Risk Management - Vice President - London

  • Competitive Base + Bonus
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • Jefferies
  • 23 Apr 18 2018-04-23

The team focuses on the validation of firm’s Risk and pricing models used in London and New York. Successful candidates should have diverse risk modelling / validation experience and to be able to operate in a fast-moving and entrepreneurial working environment. Jefferies International Limited is looking for a Vice President Quantitative Analyst to join their Model Validation function in London, reporting to the International Head of Quantitative Risk.

Company

Jefferies, the global investment banking firm, has served companies and investors for over 50 years. Headquartered in New York with its European head office in London and staff in over 30 global cities, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and wealth and asset management. Jefferies provides research and execution services in equity, fixed income, foreign exchange, futures and commodities markets, and a full range of investment banking services including underwriting, merger and acquisition, restructuring and recapitalisation.

Team

The team focuses on the validation of firm’s Risk and pricing models used in London and New York.  Successful candidates should have diverse risk modelling / validation experience and to be able to operate in a fast-moving and entrepreneurial working environment.

Role

Jefferies International Limited is looking for a Vice President Quantitative Analyst to join their Model Validation function in London, reporting to the International Head of Quantitative Risk.

Key Responsibilities

The key responsibilities are:

  • Review / formal Validation of Risk (VaR, Stress and Counter-party Credit Risk models) and Capital models, as well as vanilla fixed income pricing models
  • Inform and update on an on-going basis best practice development and evolving regulatory standards for Risk models
  • Present and defend validation work to key stake-holders in risk and other control function.


Person Specification

The following skills and experience are required for this role:

  • Previous relevant experience in Risk model Validation / Development.
  • Masters/PHD in a numerical discipline is desirable
  • Effective communication skills; both verbal and written English
  • Experience in liaising with sales & Trading
  • Knowledge of VaR methodology
  • Knowledge of programming languages and statistical tools such as, Java, MATLAB, Python