Quantitative Analyst

Job description

Overview

About SAS:

SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you're a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits.

 

 

 

The Quantitative Analyst will work collaboratively with a high performing team of credit risk modeling experts to build, enhance, and support solutions that empower financial services firms to better manage risk and drive profitability.

In this role, you will be responsible for building and supporting the SAS Model Implementation Platform software, which is used by financial institutions to build complex systems of credit risk models.  In addition, responsible for delivering services around the software which could include a combination of the following:  product support, presales support, consulting, industry model development, and custom model development.  Position requires a deep understanding of econometrics and expert knowledge of industry leading credit risk modeling techniques and model structures.  These may include: Monte Carlo state transition models, Markov chain transition models, term structures models of interest rates and other economic variables, and various types of hazard models (prepayment and default).  Emphasis will be on retail credit models, but may also include corporate and commercial models. 

Key responsibilities include:

·  Play an active role in existing and new product software development, with particular emphasis on utilizing industry expertise to improve the product
·  Support presales activities that showcase the SAS Model Implementation Platform and Expected Credit Loss solutions to customers, including detailed proof of concept projects where customer models are implemented into the platform
·  Engage in research projects that lead to papers and presentations that demonstrates expertise in the field
·  Provide post-sale support to customers with a variety of needs
·  Engage in consulting projects with clients who need assistance with building models, implementing models, coding modeling systems, managing modeling data, and general domain expertise
·  Build out and support industry models that can be packaged within the SAS Model Implementation Platform
·  Provide both internal and external training on the SAS Model Implementation Platform and Expected Credit Loss solutions
·  Support emerging focus areas, including IFRS9 and CECL

 

Qualifications

 

 

Essential

·  Advanced degree in a quantitative discipline (e.g. economics, statistics, mathematics or engineering) or significant domain/industry experience
·  3+ years building and implementing models at a major bank or financial institution
·  SAS programming experience is critical
·  Demonstrated aptitude to learn and understand new concepts
·  Experience and understanding of risk models and data used in the financial services industry
·  Willingness to travel when necessary for customer engagements
·  Significant level of customer interaction, making written and verbal communication skills critical
·  Enthusiastic attitude to solve problems and actively seek out ways to make solutions better

Preferred

·  Experience with the SAS Model Implementation Platform or SAS High Performance Risk engine
·  Knowledge and expertise in other programming languages such as C++, C#, Java, and Python
·  Experience with issues involving IFRS9 and CECL regulations

 

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Additional Information
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.