Market Risk Quantitative Analyst Market Risk Quantitative Analyst …

Taylor Root
in London, England, United Kingdom
Permanent, Full time
Last application, 21 Jul 19
Negotiable
Taylor Root
in London, England, United Kingdom
Permanent, Full time
Last application, 21 Jul 19
Negotiable
My client, a top tier financial service institution is looking for a Quantitative Analyst to join their team based in London.

My client, a top tier financial service institution is looking for a Quantitative Analyst to join their team based in London. The Team is high on diversity, family-friendly, offering a lovely environment for people to grow, develop whilst contributing to a bigger cause. The pace is dynamic, the work is unlike any other firm in the business, and the possibilities are endless. Problem solvers, difference makers, trailblazers.

The role will be part of the Quantitative Risk Management department, which is charged with researching, developing, implementing and supporting the company's analytics used for risk and default management. These analytics include in particular:

  • models (calibration, simulation, pricing, sensitivities, Value-at-Risk, liquidity, regulatory capital)
    * testing frameworks (back-testing, stress testing, unit and regression testing)
    * tools dedicated to clients' portfolio management (sensitivities, risk reports, margin adequacy, collateral)

You will be mentoring/leading the team responsible for the Quantitative Development across asset classes. You will also contribute to the Market and Liquidity Risk framework, and to feasibility studies on new products (including complex derivatives) for the benefit of senior management.

Requirements:

  • Good background in Market Risk Models with ideally the ability to programme in R (or Python)
  • Ideally at least 3-4 years work experience in quantitative analysis in risk modelling
  • Good knowledge of statistics, econometrics, financial mathematics, stochastic calculus or machine learning
  • Able to generate new ideas and to effectively communicate about these ideas;
  • Strong analytic skills
  • Highly experienced in modern programming languages (e.g. Matlab, Python) and statistical languages (e.g. SAS, R)
  • Affinity with data analytics, (pre)processing, and data handling
  • Experience with machine learning/advanced analytics techniques is an advantage.
  • Able to work under high pressure
  • Excellent team player with the ability to coach junior modellers
  • Advanced interpersonal and communicative skills
  • Bloomberg + Reuters data manipulation
  • Market and Liquidity Risk Management Experience

Please note our advertisements use PQE/salary levels purely as a guide. However we are happy to consider applications from all candidates who are able to demonstrate the skills necessary to fulfil the role.

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