Associate Fraud Strategy Data Scientist

5 Star Recruitment; San Jose (CA); On-site; USD 75,000 - 95,000; Full time

Job summary

A recruitment agency in California is seeking an Associate Fraud Strategy Data Scientist to support fraud detection and risk analysis. The role requires up to 2 years of experience in risk analytics, a relevant bachelor’s degree, and proficiency in SQL and Python. Strong communication skills and experience with data visualization tools like Tableau are essential. The role involves designing fraud detection strategies and collaborating with cross-functional teams to implement data-driven solutions.

Qualifications

• Up to 2 years of experience in risk analytics or data science.
• Experience using statistics to solve complex business problems.
• Proficiency in data visualization tools, especially Tableau.

Responsibilities

• Design rules for fraud detection and mitigation.
• Develop Python scripts to support fraud strategies.
• Collaborate with cross-functional teams on data-driven solutions.

Skills

Risk analytics

Data analysis

Data science

Statistical analysis

Communication skills

Education

Bachelor's degree in Data Analytics, Data Science, Mathematics, Statistics, or related field

Tools

SQL

Python

Excel

Tableau

AWS

Job description

About the job Associate Fraud Strategy Data Scientist

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.

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
• 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

Notes from Hiring Manager:

• 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

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.
• 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.
• 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.