Fraud Solution Associate
2 weeks ago
COMPANY DESCRIPTION
ALTO Network is a leading payment infrastructure provider as well as the pioneer in payment solution by always bringing the most innovative and impactful technology to connect merchants or financial institutions with their customers to grow their businesses nationwide and beyond.
DESIGNATION : Fraud Solution Associate
RESPONSIBILITIES
**Role Purpose**
Implementing and managing fraud detection systems, tools, and technologies to identify suspicious activities, transactions, and patterns indicative of fraud.
**Key Responsibilities**
- Proficiency in using fraud management software, tools, and platforms tailored for fraud prevention, detection, case management, analytics, and reporting.
- Evaluating, selecting, implementing, and optimizing fraud technology solutions.
- Assessing fraud risks specific to business processes, systems, and operations.
- Developing risk mitigation strategies, controls, and frameworks to address identified risks and vulnerabilities.
- Leveraging data analytics, machine learning, artificial intelligence (AI), and predictive modeling techniques to analyze large datasets, detect anomalies, predict fraudulent behavior, and automate fraud detection processes
- Ensuring compliance with regulatory requirements, industry standards, and best practices related to fraud prevention, anti-money laundering (AML), know your customer (KYC), and data protection laws. Implementing fraud reporting mechanisms and supporting regulatory audits
**Requirements**:
- AML and KYC Regulations
- Fraud reporting requirement
- Machine learning platforms and libraries : such as TensorFlow, scikit-learn, or PyTorch for developing fraud detection models.
- Data analysis
- Data modeling
- Data visualization
Non-technical
- Problem-Solving
- Adaptability
- Time Management Skills
Technical
- Data tools : such as SQL, Excel, SAS, R, Python, or similar tools.
- SQL : querying databases and performing data manipulation tasks.
- Splunk
- Data analytics
- Machine learning
- Big data technologies
- Scripting : such as Java, Python, C++, Python,Golang, etc
QUALIFICATIONS
Fresh graduates are welcome to apply
Experience with fraud prevention and detection technologies and tools, including fraud detection software, machine learning algorithms, and predictive analytics models.
Bachelor's degree in computer science, information technology, engineering, or a related field. Master's degree preferred
Experience in conducting fraud investigations, digital forensics analysis, evidence gathering, and documenting findings
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