Syntricate Technologies
Data Science Design
Syntricate Technologies, San Antonio, Texas, United States, 78208
Job Title
Data Science Design
Work Location (State, City and Zip)
San Antonio, Texas - 78288
Technical/Functional Skills
Data science / Machine Learning/ Python / SQL / SAS / Unix shell scripting
Experience Required
4 to 6
Roles & Responsibilities
Data Science Delivery team uses analytics and machine learning to prevent and detect fraud. In this role, you will be expected to work with our lead data scientist and the team executive as well as our internal strategy, technology, product and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
Some tasks that this role may be involved (but are not limited to)
1. s model implementer to develop and maintain mlops pipelines for internal and vendor models
2. Monitoring existing models performance, investigating any performance issues and taking remediation action
3. Involved with Model Risk Management and performing analysis and validation testing to ensure that the models adhere to enterprise governance standards
4. pply mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action'
5. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled
Data Science Design
Work Location (State, City and Zip)
San Antonio, Texas - 78288
Technical/Functional Skills
Data science / Machine Learning/ Python / SQL / SAS / Unix shell scripting
Experience Required
4 to 6
Roles & Responsibilities
Data Science Delivery team uses analytics and machine learning to prevent and detect fraud. In this role, you will be expected to work with our lead data scientist and the team executive as well as our internal strategy, technology, product and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
Some tasks that this role may be involved (but are not limited to)
1. s model implementer to develop and maintain mlops pipelines for internal and vendor models
2. Monitoring existing models performance, investigating any performance issues and taking remediation action
3. Involved with Model Risk Management and performing analysis and validation testing to ensure that the models adhere to enterprise governance standards
4. pply mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action'
5. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled