Fraud Analyst

RESPONSIBILITIES:
A client with Kforce is seeking a Fraud Analyst to join their team onsite in Mountain View, CA.

Summary:
The client is seeking someone to join their Trust and Safety Team. If you are a natural problem solver with strong analytical skills, a creative and critical thinker, naturally inquisitive and always looking to expand your knowledge then this is the role for you!

In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, aiming to gain a comprehensive understanding of how bad actors operate. This requires a keen eye for detail, strong analytical skills, and familiarity with data visualization techniques. You will be responsible for creating intuitive dashboards that will allow your stakeholders to monitor and mitigate these fraudulent patterns efficiently.

Duties:
* Transform data into actionable and relevant insights for your stakeholders
* Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets
* Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers
* Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions
* Perform in-depth exploration and analysis of both internal and external data sources
* Identify developing patterns of fraudulent activities within the company's extensive range of products
* Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes
* Work closely with local and global teams in policy, product, data engineering, data science, and R&D

REQUIREMENTS:
* +4 years of experience analyzing complex datasets, and providing business recommendations
* +4 years of experience working in an e-commerce, payments, or financial services company
* +4 years of experience building dashboards and data visualization
* Extensive SQL experience, specifically in your current role
* Proven ability to work independently and make decisions with minimal direction within assigned timelines
* Able to express thoughts and ideas in fluent and concise manner

Preferred Qualifications:
* Bachelor's degree, or foreign equivalent, in Computer Science, Information Systems Management, Engineering (any field), or closely related quantitative discipline
* Background in fraud prevention, with emphasis on tax fraud
* Experience building ETL pipelines
* Experience with Tableau/QlikView or and other data visualization software
* Experience with GitHub/Splunk/Python

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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