Diverse Systems Group
Associate Fraud Strategy Data Scientist Hybrid
Diverse Systems Group, San Jose, California, United States, 95199
Job Description
Job Description
Note:
This is a hybrid position, so candidates must be in San Jose.
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 performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
We’d love to chat if you have:
Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with 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, and 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, i.e., 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 in 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, and 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 a strategy for different risk types
Work with product/engineering to improve 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 team, 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 a dashboard and visualizations to track the KPI of fraud strategies implemented
Preferred Skills
Data analytics and models
Rule development
Dashboard Creation
Project Management
Strong Communication
MUST HAVE:
Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with 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, and 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.
Company Description Diverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.
Specialties / DSG Core Competencies:
Healthcare Information Management
Healthcare Information Technology Discovery (HID)
Project/Program Managers
Change and Configuration Managers
Quality Assurance/Testers
Network Security
Database Developers and Administrators
Information Assurance
Web Development
Helpdesk
#J-18808-Ljbffr
Note:
This is a hybrid position, so candidates must be in San Jose.
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 performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
We’d love to chat if you have:
Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with 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, and 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, i.e., 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 in 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, and 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 a strategy for different risk types
Work with product/engineering to improve 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 team, 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 a dashboard and visualizations to track the KPI of fraud strategies implemented
Preferred Skills
Data analytics and models
Rule development
Dashboard Creation
Project Management
Strong Communication
MUST HAVE:
Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with 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, and 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.
Company Description Diverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.
Specialties / DSG Core Competencies:
Healthcare Information Management
Healthcare Information Technology Discovery (HID)
Project/Program Managers
Change and Configuration Managers
Quality Assurance/Testers
Network Security
Database Developers and Administrators
Information Assurance
Web Development
Helpdesk
#J-18808-Ljbffr