Quantitative Risk Analyst - Financial Risk Management Group

Google
Mountain View - United States
S: Competitive

Google's Treasury team is on a mission to optimize the return on Google's financial assets. As a member of this team, you're always looking for innovative ways to help Google invest for the future while limiting volatility and material surprises. In addition to risk busting and asset management, you work collaboratively to administer business insurance programs and stock programs, and provide financial analysis support to our internal teams. You make creative yet calculated decisions that are backed by both experience and your extensive knowledge of the economy and financial industry.

As the Quantitative Risk Analyst, you will be part of a highly experienced Financial Risk Management team facing the daily challenge of managing complex information flow in a sophisticated risk management environment. As your scope will span multiple fields and wide-ranging topics, you will be exposed to many different aspects of the financial risk management process. Our flat organizational structure encourages not only the sharing of knowledge but also the opportunity to have your voice heard.

Responsibilities
Synthesize financial theory, quantitative techniques, and systems expertise to help the company define, measure, and ultimately manage its financial risk.
Perform deep, thoughtful analysis by researching and developing analytics as needed and transform the results into mission-critical systems.
Maintain the performance and availability of various risk management analytics and provide continuous improvement.
Distill and communicate the essence of your technical work to audiences of all levels and across multiple functional areas while formulating robust, actionable recommendations.
Be responsible for the integration of various software components, data exchange interfaces, and the management of new analytics deployments.

Minimum qualifications
BA/BS degree or equivalent practical experience.

Preferred qualifications
Graduate degree in such technical disciplines as Statistics and Operations Research.
Experience with financial markets.
Excellent command of scripting languages (Python/Bash/Perl/JavaScript/Regular expressions). Experience with MySQL, Java, machine learning and data mining. Commanding fluency with R, MATLAB and/or Mathematica and S+.
Strong desire and ability to creatively solve problems and strong prioritization skills.
Solid understanding and passion for quantitative finance and demonstrated leadership and communication skills.

Job summary