Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide.
Job Title: Associate Fraud Strategy Data Scientist
Location: San Jose CA 95002
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Hybrid
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 at Client.
-
This position requires a person who has experience with performing analytics refining risk strategies and developing predictive algorithms preferably in the risk domain.
Wed love to chat if you 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.
-
Bachelors 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
Key Job Functions:
-
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 improvement control capabilities
-
Develop and present strategies and guide execution
Expected Outcome:
-
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
Preferred Skills:
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Job Title: Associate Fraud Strategy Data Scientist Location: San Jose CA 95002 Duration: 12 Months Job Type: Temporary Assign...
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide.
Job Title: Associate Fraud Strategy Data Scientist
Location: San Jose CA 95002
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Hybrid
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 at Client.
-
This position requires a person who has experience with performing analytics refining risk strategies and developing predictive algorithms preferably in the risk domain.
Wed love to chat if you 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.
-
Bachelors 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
Key Job Functions:
-
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 improvement control capabilities
-
Develop and present strategies and guide execution
Expected Outcome:
-
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
Preferred Skills:
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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