Associate Fraud Risk Data Scientist
Associate Fraud Risk Data Scientist
Posted on :
07-10-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-10-2025
Job Description
JOB DESCRIPTION:
We are looking for a talented enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. 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 machine learning model development with cutting edge AI/ML frameworks performing analytics statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.
Wed love to chat if you have:
- 2-6 years of experience in machine learning/AI data science risk analytics & data analysis within relevant industry experience in eCommerce online payments user trust/risk/fraud or investigation/product abuse.
- Bachelors/Masters degree in Data Science Data Analytics Mathematics Statistics Data Mining or related field or equivalent practical experience
- Experience using statistics and data science (machine learning & AI) to solve complex business problems
- Proficiency in SQL Python AWS 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 AI and machine learning 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 development and implementation of AI tools (e.g. LLMs) for risk use cases.
Key Job Functions:
- Design and develop machine learning and AI models detect/mitigate fraud
- Support stakeholders and cross-functional teams in effective usage of models
- Drive AI transformation for all risk management activities at BILL
- Work with product/engineering to implement monitor and refine AI solutions and models
Expected Outcomes:
- Work closely with team members and stakeholders to consult design develop and manage fraud models and AI solutions.
- Utilize data analysis to design and implement fraud models
- Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI 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 models implemented
MUST HAVE:
- 2-6 years of experience in machine learning/AI data science risk analytics & data analysis within relevant industry experience in eCommerce online payments user trust/risk/fraud or investigation/product abuse.
- Bachelors/Masters degree in Data Science Data Analytics Mathematics Statistics Data Mining or related field or equivalent practical experience
- Experience using statistics and data science (machine learning & AI) to solve complex business problems
- Proficiency in SQL Python AWS Excel including key data science libraries
- Proficiency in data visualization including Tableau
- Experience working with large datasets
- Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.
Employment Type
Full Time
Key Skills
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