Develop and implement quantitative, econometric, and statistical models using Python and PySpark. Optimize Spark jobs, manipulate large datasets, collaborate with business, model review, and finance teams, and communicate model design, testing, and analysis. Dataiku experience and financial industry knowledge are preferred.
Company Description
We are a Information Technology services and consulting firm, adept at providing quality solutions for IT services and Staff Augmentation with a unique blend of technologies. We take pride in introducing ourselves as a partner our client can rely on when it comes to delivering quality work with an innovative approach.
Job DescriptionJob Description:
Roles and responsibilities:
- 5+ years of strong experience in programming with Python to implement models
- Must have Model implementation experience
- Experience using PySpark for data manipulation/model implementation work with an experience on how to optimize Spark jobs
- Experience working with Dataiku is preferred, but willing to consider strong Python/PySpark candidates with no Dataiku experience and train them
- Hands-on experience manipulating data and developing econometric and statistical models, preferably with financial applications
- Ability to clearly communicate all aspects of quantitative model design, testing and analysis to Business Unit, Model Review, and Finance teams
- Strong written and oral communication skills and a positive, collaborative, and proactive attitude
- Financial industry experience preferred
Qualifications
All Qualification
Additional InformationAll your information will be kept confidential according to EEO guidelines.
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