Overview
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Finanace
fraud
risk
data scientist
Job Details
JOB DESCRIPTION:
We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.
Description
- Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
- Bachelor s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
- Experience using statistics and data science to solve complex business problems
- Proficiency in SQL, Python, Excel including key data science libraries
- Proficiency in data visualization including Tableau
- Experience working with large datasets
- Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
- Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes
- Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
- Desirable to have experience or aptitude solving problems related to risk using data science and analytics
- Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies
MUST HAVE:
- Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
- Bachelor s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
- Experience using statistics and data science to solve complex business problems.
- Experience in SQL, Python, Excel including key data science libraries.
- Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation.
- Experience in data visualization including Tableau.
- Experience working with large datasets.
NICE TO HAVE:
- Desirable to have experience or aptitude solving problems related to risk using data science and analytics
- Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies.
Hiring Manager Notes:
- Strong SQL proficiency
- Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
- Proficiency in AWS Quicksight and Tableau
- Strictly contract to cover multiple leaves over a 1 yr. period.
- Potential to extend based on business need and performance.
- Day shift: M-F Pacific time
- Multiple Zoom interviews (2-3) SQL assessment during 1st interview.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.