Quantitative Support Analyst - Fixed Income Products - (US-NY-New York - 10292)

Compensation: $100K - $100K / Year
Minimum Education: Bachelors
Job Type: Full Time
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Quantitative Support Analyst – Fixed Income Products
MS-Access, SQL Server, Programming: Visual Basic, C , Windows Unix, Networking/System Administration: Shell scripting, MS Exchange Server, DHCP, DN

Support clients in installation, integration and usage of firm's advanced financial analytics software using the its third party licensing application by Agilis Software and CRM application. Work with financial engineers and development team to create support solutions for the firm's third party CRM application for its product line.
* Guide clients, trading support personnel and systems administrators in installation and integration of firm's software on Windows and a broad range of platforms.
* Work through the support issues associated with all products and licensing
* Triage support requests to 2nd and 3rd tier support
* Work with the financial engineers and development teams in a day to day environment for the creation of support documentation that incorporates both the firm's Analytics as well as the Portfolio GUIs
* Test the installation and profile creation of all licensing scenarios as they are effected by the old and new product licensing needs
* Provide support for clients using sophisticated pricing and risk management software.
* Perform First and Second Tier Support functions of installation, licensing and support call management of all products.
* Develop working knowledge of firm's Excel interface products to troubleshoot user issues with full range of products.
* Build Excel templates from user supplied term-sheets and deal descriptions.

Qualifications:
* Undergraduate or advanced degree in information technology. * Working knowledge of Windows and Unix operating systems and communication protocols.
* Databases: MS-Access, SQL Server
* Programming: Visual Basic, C
* Networking/System Administration: Shell scripting, MS Exchange Server, DHCP, DNS
* Advanced degree or substantial work towards the completion of an advanced degree in either: Financial Engineering, Engineering, Physics, Statistics or Applied Mathematics. * Understanding of financial mathematics: Models in the BS framework, Monte Carlo techniques, Numerical methods, Stochastic processes.
* Understanding of risk management techniques: VaR analysis (Analytical, Historical, simulation based) and Credit Exposure.
* Working knowledge of: FI products and FI derivatives, Cross Currency structures and FX derivatives, and Credit Derivatives.
* Experience with Bloomberg and Reuters information systems
* 3 to 6 months of internship experience at a Financial Institution. Preferably at an institution or department that specializes in Credit Derivatives.

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