Quant Group seeks Developer
Risk Model Development and Deployment – C# and SQL – 30%
Significant time will be spend on working with the Quantitative Risk Management Team in London in taking ownership for the maintaining and extending the capabilities of the risk models for the QAG group in New York
Data Analytics Development – SQL, DB2, VBA, Matlab and R – 35%
Work with the wider business to develop complex reports, analyses and models using SQL, BI statistical tools against the data warehouse (DW)
Contribute to the development / enhancement of the data warehouse and related reporting and modelling systems
Implementing, validating, testing, documenting and putting procedures/reports into production
Building efficiency – transfer report execution to business units
Reviewing the reports with the business unit in light of new information and against alternatives
Identifying, with the business unit: 1) the problem/question, 2) appropriate data sets and sources, and 3) applicable analytical methods given the problem and the characteristics of the data
Prototyping of the reports, using appropriate tools, reviewing their output and presenting output back to business units
Quantitative Research – 25% - Matlab / R
Work with the Director of the Quantitative Analytics Group, New York in researching, developing, modelling and validating a wide range of complex models using statistical / mathematical principles in order to manage risk and improve the quality of business decisions
Stakeholder Management – 10%
Deal with requests from external clients regarding specialist analysis requests and work with wider New York office to improve how the QAG group manages its results and findings.
If interested, please drop your profile to chris.finn@eamesconsulting.com
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