Job Title
About Us
We are seeking a Lead Risk Architect to join our Financial Crime team. The ideal candidate will have experience in designing and implementing high-performance AML fraud detection systems, entity resolution, and compliance analytics.
Key Responsibilities
* Demonstrated experience in multiple forms of data ingestion, event-based streaming, synchronous real-time ingestion approaches.
* Architecting our SLM (Localized LLM) strategy to build a low-cost, high-performance multi-agent AI architecture with the ability to create an ontology via knowledge graphs.
* Designing the ODS LDM and the Star/Snowflake LDM to support knowledge storing, sharing, audit, and re-use for Agentic AI to store, forward, capture knowledge, and decisions made.
* Applying entity resolution techniques in place without further data movement.
* Be a proponent of not moving large-scale data movement to multiple data sinks, process data in place rather than move data to different sinks.
* Be a proponent of the SHIFT LEFT paradigm and be a Data Foundation proponent.
* Utilizing tooling that allows SHIFT LEFT, for example, instead of a physical Graph Database, a virtual Graph Database sitting on top of a solid Data Foundation.
* Understanding real-time scaling and performance needs for fast-track processing, near real-time, and slow-track batch-oriented needs and which types of Compute, GPU, and storage to apply and appropriate Notebook technologies (Scala, PySpark, Python, SQL).
* Understanding how to construct and deploy natively or via third-party LLMOps and MLOps and how a comprehensive Data AI monitoring strategy can be put into place.
* Be a proponent of Governance, Lineage, Auditability, Data As A Product (Data Contracts) via utilizing the power of the Unity Catalog across the entire architecture.
* Designing systems to lower cost, require less IT support, and to be adaptable/flexible.
* Collaborating closely with Data Scientists, Analysts, Compliance, Operations, and our Product/Feature teams to operationalize models and rules.
* Integrating with external systems (e.g., sanctions, ID V, biometrics, and authentication systems) to enrich risk and identity data by building a rich profiling layer capable of supporting detection and investigation.
Requirements
* Must-Have: Bachelor's degree or above - ideally in Computer Science with specialization in Data Architecture/AI.
* ***** years of experience, preference in Financial Services, Fast Moving E-Commerce industries.
* Held the position of Lead Risk Architect at one of the above industries with a suitable size customer base and designed global/multi-country systems.
* Hands-on experience demonstrating architecture, design, and implementation of Financial Crime or Cyber Security detection systems using Databricks, Snowflake, GCP Big Query/Table, and/or Cloudera type systems.
* Experience working with structured and unstructured data in a production environment.
* Secure Coding practices – testing/QA in Spark, Python, PySpark, PostGreSQL, Databricks SQL.
* Comfortable with cloud-based platforms (preferably AWS, but good data engineering on GCP is also welcomed).
* Good communication skills in English — able to collaborate with cross-functional teams in an international environment.
* Proficiency in working with Text, Delta, Parquet, Iceberg/S3, JSON, CSV, and XML data formats.
* Working knowledge of Kafka/MQ/Spark structured real-time streaming.
* Solid understanding of git-based version control, DevOps, and CI/CD.
* Experience of working on Atlassian stack.
* Knowledge of common web API frameworks and web services.
* Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
* Willingness to embrace modern technology, best practice, and ways of work.
Benefits
* Part of a mission-driven team tackling real-world financial crime problems.
* Work with modern data tech stack with Agentic AI and advanced ML.
* Hybrid working model with flexible hours.
* International and collaborative culture — working with colleagues across Vietnam, Singapore, Philippines, and South Africa.
* Competitive salary, performance bonuses, and learning support.