INACTIVE
Full-Time
Machine Learning Engineer
Commerce Fraud Risk, Modeling
Posted on 11/30/2023
Empowers economies with inclusive financial technologies
Consulting
Energy
Social Impact
Financial Services
Consumer Goods
Mid, Senior
Remote in USA
Required Skills
Python
Data Structures & Algorithms
Java
Data Analysis
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
- 5+ years of experience in machine learning, data analysis, or a related field.
- Proven experience in fraud detection and risk management.
- Strong knowledge of machine learning algorithms and data analysis techniques.
- Proficiency in programming languages such as Python or Java.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Responsibilities
- Develop, implement, and maintain machine learning models for fraud detection.
- Analyze large datasets to identify patterns and trends related to fraudulent activities.
- Collaborate with cross-functional teams to understand business needs and develop solutions to mitigate fraud risks.
- Continuously monitor and evaluate the performance of machine learning models, making adjustments as necessary.
- Stay up-to-date with the latest developments in machine learning and fraud detection, and incorporate new techniques and technologies into our processes as appropriate.
- Prepare and present reports on model performance and fraud trends to stakeholders.
Block's main product focuses on economic empowerment and utilizes technologies such as inclusive People policies, financial forecasting, legal counsel, system security, and the nurturing of new initiatives.
Company Stage
IPO
Total Funding
$601.2M
Headquarters
Oakland, California
Founded
2009
Growth & Insights
Headcount
6 month growth
↓ -1%1 year growth
↑ 5%2 year growth
↑ 16%INACTIVE