Early Warning is looking to solve the problem of assessing risk and detecting/preventing fraud by developing and enhancing analytically derived models and products within a high-volume, high-throughput data environment.
Requirements
- Advanced experience in data mining, data manipulation and data step programming required using PySpark, Scala and Hive
- Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques.
- Proven experience with understanding business requirement and translating into an analytic design.
- Proven ability to evaluate different analytical approaches and select the optimal design and techniques.
- Deep knowledge of advanced ML algorithms
- Experience using ML-related libraries, such as scikit-learn, pandas, etc.
- Experience in writing and tuning SQL.
Responsibilities
- Participate in or lead the design, development, and maintenance of analytically derived models for assessing risk and detecting and preventing fraud.
- Design data ETL and storage schemes for complex datasets from various sources.
- Play leading role in supporting large scale business initiatives.
- Preparation of analytic detail design documentation.
- Oversees documentation of analytic solutions developed
- Responsible for overall analytic data processes, designing and directing program development.
- Research and recommend new analytical techniques / software and train the team members accordingly.
Other
- Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire.
- This position is ineligible for employment Visa sponsorship.
- Ability to support multiple projects concurrently. Develop and manage timelines for all project activities
- Prepare and present technical information in appropriate form to management as well as to technical colleagues
- Support the company's commitment to protect the integrity and confidentiality of systems and data.
