Senior Quantitative Analyst

Work sponsorship is not available for this position

• The candidate must have experience with the following:
• Statistical modeling in the financial domain
• Master’s in any quantitative field
• Python for quantitative analysis
• Modeling tool: Any (Python is preferred)
• Data platform: Snowflake
• Model testing and documentation
• Regression modeling and implementation
• PhD in any quantitative field is preferred.

Must Have Qualifications: 10 years of experience with modelling - with at least 3 years of

experience model testing and model development. Candidate must have a quantitative degree- master’s degree required but Doctorate is preferred.

Your Impact:

• As a Data Scientist, you will join a group of skilled professionals who use data science to solve important business problems.
• Developing analytical methods and models about the collateral underlying the mortgages in the client’s portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.
• Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
• Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
• Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
• Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
• Working under limited direction, independently resolving and developing approach to solutions.

Qualifications:

• Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field.
• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.
• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, and MATLAB.
• Experience working with large data sets and relational database.
• Experience in statistical model development and implementation is preferred.
• Experience with software development and system setup for model application is preferred.