Trisian-Global Consulting LLC
Data Scientist - Fraud Strategy
Trisian-Global Consulting LLC, San Jose, California, United States, 95199
Position: Data Scientist - Fraud Strategy - 12 month Contract
Trisian-Global Consulting LLC is seeking a highly skilled and experienced Data Scientist for a 12 month contract in San Jose, California.
Hybrid environment, must be local to San Jose.
NO Sponsorship, C2C, H1B, OPT etc -must be USC or Green Card Holder for W2 Engagement with Client.
As a Data Scientist, you will be responsible for developing and implementing data-driven strategies to identify and prevent fraud for our clients. You will work closely with our team of experts to analyze large datasets, build predictive models, and develop fraud detection algorithms to identify potential fraudulent activities. This position will support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation and require experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.
Key Responsibilities:
Design rules to detect/mitigate fraud
Develop python scripts and models that support strategies
Investigate novel/large cases
Identify root cause
Set strategy for different risk types
Work with product/engineering to improve control capabilities
Develop and present strategies and guide execution
Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
Utilize data analysis to design and implement fraud strategies
Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
Development of dashboard and visualizations to track KPI of fraud strategies implemented
Qualifications:
Minimum 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.
Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining.
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
Proficiency in AWS Quicksight
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
If you are a highly motivated and skilled Data Scientist with a passion for fraud prevention and risk management, we want to hear from you!
#J-18808-Ljbffr
Hybrid environment, must be local to San Jose.
NO Sponsorship, C2C, H1B, OPT etc -must be USC or Green Card Holder for W2 Engagement with Client.
As a Data Scientist, you will be responsible for developing and implementing data-driven strategies to identify and prevent fraud for our clients. You will work closely with our team of experts to analyze large datasets, build predictive models, and develop fraud detection algorithms to identify potential fraudulent activities. This position will support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation and require experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.
Key Responsibilities:
Design rules to detect/mitigate fraud
Develop python scripts and models that support strategies
Investigate novel/large cases
Identify root cause
Set strategy for different risk types
Work with product/engineering to improve control capabilities
Develop and present strategies and guide execution
Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
Utilize data analysis to design and implement fraud strategies
Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
Development of dashboard and visualizations to track KPI of fraud strategies implemented
Qualifications:
Minimum 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.
Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining.
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
Proficiency in AWS Quicksight
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
If you are a highly motivated and skilled Data Scientist with a passion for fraud prevention and risk management, we want to hear from you!
#J-18808-Ljbffr