Amerit Consulting
Risk & Fraud Data Scientist – SQL / Tableau / AWS
Amerit Consulting, San Jose, California, United States, 95199
Overview
Direct message the job poster from Amerit Consulting Our client, provides automated, cloud-based software for financial operations, and seeks an accomplished
Risk & Fraud Data Scientist – SQL / Tableau / AWS. Candidate must be authorized to work in USA without requiring sponsorship Duration: 12+ months 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
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 Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
Required Skills
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
Key Job Functions
Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution
Expected Outcome in 6-12 months
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
Data analytics and models Project Management Strong Communication
Equal Employment Opportunity
Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.
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Direct message the job poster from Amerit Consulting Our client, provides automated, cloud-based software for financial operations, and seeks an accomplished
Risk & Fraud Data Scientist – SQL / Tableau / AWS. Candidate must be authorized to work in USA without requiring sponsorship Duration: 12+ months 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
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 Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
Required Skills
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
Key Job Functions
Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution
Expected Outcome in 6-12 months
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
Data analytics and models Project Management Strong Communication
Equal Employment Opportunity
Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.
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