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Quantitative Analyst (Risk)

We are seeking a Quantitative Analyst to join our Risk Management team

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DESCRIPTION

Quantitative Analyst (Risk)

We are seeking a Quantitative Analyst to join our Risk Management team. You will have a keen interest in systematically quantifying risk and explaining market dynamics, taking ideas from specification through to implementation in our Python-based risk analysis systems. These risk models and analytics will be applied to our many investment strategies, operating on a global basis. You will be utilising large and complex data sets, while working in a collaborative, open and friendly team, and receive excellent compensation and benefits.

We want to hear from you if you are practical, ambitious, dynamic and thrive from a challenge.

Responsibilities

  • Develop, validate and implement multi-factor risk models, scenario testing, and related analytics over a range of asset classes
  • Work closely with the research and investment team, quantifying market risks and suggesting mitigation strategies
  • Automate bespoke reports and visualisations
  • Manage daily risk control processes and conduct quantitative data investigations

Requirements

  • Degree in a relevant quantitative field such as Mathematics, Engineering and Physics
  • Familiarity with financial instruments and their risk metrics
  • Excellent skills at Python and associated scientific and visualisation libraries

Beneficial experience

  • Experience with equity multi-factor and statistical risk modelling
  • Experience working in finance or with financial data
  • Familiarity with C++, Linux

Who are we?

We are a technology driven company of smart people who like to solve tough problems using a modern software stack. We are passionate about writing good code, collaborative and eager to keep up with developments in our fields. Our small team provides plenty of scope to learn new skills and presents a variety of challenges to keep work interesting. We are based in the centre of Oxford and have an informal work environment with plenty of opportunity for professional development and team-building social activities.

APPLY

Apply

We want to hear from you if you would like to be part of an exceptional team, are ambitious and would relish the challenge. We offer excellent compensation and benefits, and are a collaborative, open and friendly team.

To apply, please email your cv and optionally a cover letter to recruitment@oxam.com.

No agencies please

Finite Element Mesh

A discretisation of space into a triangular mesh.
Such meshes are used when solving equations
numerically using the method of finite elements.