For a large financial services client, we are seeking a Financial Engineer/Numerical Programmer with a very strong quant background to work on a 1 year or longer project. The project involves a large-scale enterprise-wide AWS migration.
The Financial Engineer should be a fast learner, able to pick new tools and concepts up quickly. They should have strong development skills in Unix scripting, Python, and C++ or equivalent language, as well as working with Big Data or databases. They should have financial services experience, or at least a strong relevant academic record.
Develop, modify, or update code used by business units to help connect applications to enterprise database.
Participate in the implementation of multiple applications in a Unix/Linux environment, using Unix scripting, as well as Python and other languages as needed.
Develop automated testing to validate migration of applications to AWS cloud.
Develop technology to leverage big-data techniques to place output of applications onto the enterprise data lake.
Assist with data testing.
Advanced degree in financial engineering, science or engineering preferred.
Strong Unix scripting and Python skills are required.
Experience in C++ or equivalent language.
Experience working with Big Data, databases, SAS or R.
Experience with Machine Learning.
Experience in numerical calculations and quantitative financial analytics required.
AWS experience is required.
Prefer financial services experience, or at least a strong relevant academic record (financial service internships or projects).
Must be a true fast learner who is able to pick up new tools and concepts quickly.
Local candidates strongly preferred. Open to Visa candidates. Long term role (1 year+). Please alert your candidates that we are implementing skills testing and there will be a timed web-based skills test for them to take from home. Requires a VERY strong quant background. They need at least a couple of years to experience out of school.