We are seeking a highly skilled Technical Business Analyst to join our team. The ideal candidate will serve as a key link between our business stakeholders and technical teams, translating business requirements in the AML (Anti-Money Laundering) and fraud domain into actionable technical specifications. This role requires a deep understanding of data systems, architecture, and hands-on configuration of decisioning components.
Responsibilities
- AML/Fraud Domain Knowledge: Translate high-level business requirements and objectives related to AML and fraud detection into clear, detailed technical specifications and data requirements.
- Decisioning & Rule Engine Management: Directly configure and maintain components within our decisioning and rule engine, including the setup of rules, variables, decision tables, and decision trees.
- System Architecture & Integration Analysis: Analyze and document the architecture of our application services, data links, storage solutions, and APIs. Actively participate in designing system integrations and creating comprehensive integration diagrams.
- Technical Environment Understanding: Demonstrate a working knowledge of Linux for basic operations and maintenance, including log analysis, service monitoring, and resource planning.
- Data & Middleware Stack: Work with and provide input on our data infrastructure and middleware stack, including the Hadoop ecosystem (Spark, Hive, HDFS) and technologies such as Elasticsearch, Cassandra, HBase, Nginx, Kafka, and Zookeeper.
- Coding & Technical Design: Possess the ability to read and understand code to effectively collaborate with developers and contribute to the technical design of solutions.
Requirements
- Experience: At least 3 to 5 years of experience in a Technical Business Analyst role or a similar position with a strong technical focus.
- Domain Knowledge: Solid understanding of basic AML and fraud concepts, including the data and processes required for effective risk management.
- Technical Skills:
- Proficiency in configuring decisioning and rule engine platforms.
- Experience with system architecture and integration patterns.
- Familiarity with Linux administration basics.
- Knowledge of data stacks (Hadoop, etc.) and various middleware technologies.
- Coding Ability: A foundational understanding of coding principles with the ability to read and comprehend code.
- Communication & Analysis: Excellent analytical and problem-solving skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
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