Financial Engineer recruitment
Financial Engineer
Beijing, China
The Company
Algorithmics an IBM Company is the world's leading provider of enterprise risk solutions. Financial organizations from around the world use Algorithmics' software, analytics and advisory services to help them make risk-aware business decisions, maximize shareholder value, and meet regulatory requirements. Supported by a global team of risk experts based in all major financial centers, Algorithmics offers proven, award-winning solutions for market, credit and operational risk, as well as collateral and capital management. Algorithmics an IBM company.
Key Responsibilities
- To provide functional and financial modeling expertise to Algorithmics clients during project implementation
- To assist clients in financial validation of models as implemented.
- Conducts hands-on/trainings and provides 2nd level support for the global services support, pre-sales and other teams within the firm, as and when required
- Keep abreast with developments within Algorithmics and in the market place, both in business and technological terms
Key Requirement:
- Master degree in Mathematical Finance, Financial Engineering, or relevant field
- Fluent English, both verbal and written
- Working experience in financial industry, especially in risk management area.
- Willing to travel extensively, and open to re-location
- Familiarity and comfort with a technical environment involving Unix, shell and Perl Scripting, Java and C++ language development and Oracle database infrastructure.
- Self reliant, self starter, self motivated, keen to learn
- Ability to work productively in a team environment
- FRM or other risk professional certificate an asset
Applications should be made in both English and Mandarin
Algorithmics Inc. is an equal opportunity employer. It is Algorithmics’ policy to recruit and select applicants for employment solely on the basis of their qualifications, with emphasis on selecting the best-qualified person for the job. Algorithmics does not discriminate against applicants based on race, color, religion, sex, sexual orientation, national origin, or disability or any other status or condition protected by applicable law.