Associate Fraud Strategy Data Scientist

Introduction for JM Chandler Dream Builders

Welcome to JM Chandler Dream Builders. I'm the owner and sole operator of this recruitment service, proudly connecting talented individuals with great opportunities in the building and construction industry. My goal is to help both clients and candidates find the perfect fit to bring their projects and careers to life.

Please note that while all positions are advertised and interviewed by JM Chandler Dream Builders, any successful candidate will not be employed by JM Chandler Dream Builders. If you are offered a position, you will be working directly for the client the role is associated with — not through or for my company. JM Chandler Dream Builders acts solely as a recruitment and facilitation service to introduce you to potential employers

Note: This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced.

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 This position requires a person who has experience with 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 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
• 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 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
• Rule development
• Dashboard Creation
• Project Management
• Strong Communication

Notes from Hiring Manager:

• Strong SQL proficiency
• 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
• Multiple Zoom interviews (2-3) – SQL assessment during 1st interview.

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.
• 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, 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.

NICE TO HAVE:

• 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.

Hiring Manager Notes:

• Strong SQL proficiency
• 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
• Multiple Zoom interviews (2-3) – SQL assessment during 1st interview.

Job Type: Full-time

Pay: $ $50.00 per hour

Work Location: In person