Finder's fees can be offered for anybody you can recommend that YOU KNOW (providing contact info is a start) and obviously they MUST BE QUALIFIED and get interviewed and HIRED.
Call or text 203-29-QUANT 203.297.8268 if you have any questions and are qualified for this role or others posted. Please speak clearly if leaving a voicemail, and let me know the role you are applying for and if you have sent a resume or not. You may call or text at any time. All discussions and messages are fully confidential... If QUALIFIED &AUTHORIZED FOR USA WORK, email resume QuantRec @gmail.com
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You can fax in resume to 206-202-7703 as well.
PLEASE BE SURE TO INCLUDE your salary requirements (2010 base/bonus), location preferences, and for my notes where you have been interviewing or been submitted to in the past 6 months (as there are multiple opportunities if you are a solid techie). Must currently be in USA and be Green CARD/US CITIZEN/h1b with enough years left on visa (at least 3 years).
Also include the best times to reach you over the near term.
Candidates MEETING MOST OF the SPEC below will be contacted PROMPTLY.
The KDB Analyst will satisfy the Trading, Quantitative and Quantitative Research teams' demand for new KDB functionality by writing q scripts and applications and providing support of existing KDB applications. Another major responsibility will be the Data Cleaning of KDB Time Series, development of sanity checks, filters and adaptive data cleaning algorithms. KDB includes real-time and historical data used across the entire firm and across a wide range of asset classes.
The KDB Analyst will develop functions that provide access to KDB from various development platforms, including python and C++. He/She will actively participate in troubleshooting day-to-day problems with data quality and data flow. Other responsibilities will include managing the KDB time series repository and associated q library, developing tools to monitor the data acquisition integrity and the data quality and maintaining Sun’s time series database and associated q libraries.
The ideal candidate will have:
· At least 3 years of experience with the KDB database
· Proficiency in Q programming language (q-god level)
· Knowledge of scripting language, preferably Perl and Python
· SQL and data modeling skills