Data Analyst- Fraud Detection
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موقع الوظيفة:
الراتب شهرياً:
تاريخ النشر:
نُشرت قبل 9 ساعة
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
ملخص الوظيفة
AppsFlyer is the #1 market leader in mobile app measurement & mobile attribution platforms. We run at a massive scale - for a SaaS and big data company - processing more than 100 billion events daily.
Fueled by the AppsFlyer platform Protect360 is the leading anti-fraud solution in the market protecting advertisers from fraudulent traffic and saving millions of dollars for our customers.
We detect fraudulent traffic in real time using machine learning deep learning and advanced AI techniques applied on massive data streams.
Were looking for a Data Analyst to join the Protect360 algorithms team and play a key role in researching fraud patterns analyzing large-scale data and supporting the development and monitoring of fraud-detection algorithms.
This role is highly R&D-oriented with deep involvement in data exploration algorithm analysis and close collaboration with data scientists engineers and product partners.
A partial list of our tech stack includes: SQL Python Looker BigQuery AWS services Airflow and more.
What youll do:
- Analyze large complex datasets to identify fraud patterns and emerging threats.
- Design and write high-performance SQL queries for large-scale data analysis.
- Use Python for data analysis exploration validation and workflow automation.
- Support the development evaluation and monitoring of fraud-detection models.
- Build analytical tools reports and dashboards to track algorithm performance and fraud trends.
- Collaborate with data scientists engineers and product managers on R&D initiatives.
- Translate business and product questions into data-driven insights and recommendations.
What you have:
- 3 years of experience as a Data Analyst in a large-scale data or R&D environment.
- . in Industrial Engineering Statistics Mathematics Computer Science or a related field.
- Strong proficiency in SQL and experience working with large-scale datasets.
- Hands-on experience with Python for data analysis (e.g. pandas numpy).
- Hands-on experience with BI tools such as Looker Power BI Tableau or similar.
- Strong analytical skills and ability to solve complex ambiguous problems.
- Clear communicator with both technical and non-technical stakeholders.
- Independent proactive and comfortable in a fast-paced environment.
Bonus Points:
- Experience in ad-tech mobile marketing or fraud detection.
- Experience working closely with data science or algorithm teams.
- Familiarity with machine learning or data science workflows.
- Volunteering or social impact involvement.
- Being referred by an AppsFlyer team member.
As a global company operating from 25 offices across 19 countries we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race gender culture or sexual orientation. We value and encourage curiosity diversity and innovation from all our employees customers and partners.
Required Experience:
IC
المهارات المطلوبة
- Microsoft Office
- إدارة المخاطر
- الخدمات المالية
- خدمة العملاء
- Fraud
- Root cause Analysis
- إنفاذ القانون
- الخدمات المصرفية
- Analysis Skills
- Authentication
- Qualitative Research Interviewing
- تنضيف المنزل اتوماتيكيا
عن الشركة
AppsFlyer was founded over ten years ago with a mission to help marketers succeed. From the beginning, we have been committed to four things: accurate data, unmatched privacy and security, open tech-stack innovation, and an unbiased, customer-obsessed approach. These four pillars have ... اعرض المزيد
