TymeX

Tóm tắt công việc

About TymeX 

TymeX is Tyme Group's Technology & Product Development Hub with a global mission to become serial bank builders. 

Our Financial Crime platform plays a critical role in protecting customers and the bank from fraud, money laundering, and other financial crimes using advanced data, analytics, AI, and automation. 

About the Role 

We’re looking for a Senior Data & AI Engineer to join our Financial Crime team. You’ll be part of the group responsible for building and maintaining high-performance data pipelines that drive fraud detection, entity resolution, and compliance analytics across Tyme’s ecosystem. 

You’ll work with large, complex datasets in Databricks, integrate data from multiple systems in real time and batch, and help design the data foundation for real-time risk detection and case management. 

Key Responsibilities:

• Build and optimize data ingestion pipelines using Python and PySpark to collect and transform data from multiple sources (transactions, KYC, AML, authentication, devices, logs, etc.). 
• Proficiency in SQL (PostGres preferred) 
• Design and maintain data model that support Financial Crime/Fraud detection, profiling, and entity resolution. 
• Implement data quality checks and ensure data reliability across environments. 
• Collaborate closely with Data Scientists, Analysts, Compliance, Operations and our Product/Feature teams to operationalize models and rules. 
• Utilize jobs, workflows, APIs and streaming to  manage large-scale data processing workloads. 
• Integrate with external systems (e.g. sanctions, ID&V, biometrics and authentication systems) to enrich risk and identity data. 
• Support automation and monitoring of ETL processes to improve operational efficiency. 

You’ll love working with us if you are:

• Passionate about technology.
• Independent but also a good team player.
• Comfortable with a high degree of ambiguity.
• Focused on usability and speed.
• Keen on presenting your ideas to your peers and management.

At TYME, opportunities are here for the taking. If you want to be part of our purpose and live and lead through our values, we can offer exciting development opportunities through expanded lateral roles, stretch assignments, or people leadership.

Some of our benefits:

• Meal and parking allowances are covered by the company.
• Full benefits and salary rank during probation.
• Insurances such as Vietnamese labor law and premium health care for you and your family.
• SMART goals and clear career opportunities (technical seminar, conference, and career talk) - we focus on your development.
• Values-driven, international working environment, and agile culture.
• Overseas travel opportunities for training and work-related.
• Internal Hackathons and company events (team building, coffee run, etc.).
• Pro-Rate and performance bonus.
• 15-day annual + 3-day sick leave per year from the company.
• Work-life balance 40-hr per week from Mon to Fri.

Must-Have: 

• Bachelor’s degree. 
• 5+ years of experience 
• Strong skills in Python, PySpark, Scala and Advanced SQL (preferably PostGres) 
• Hands-on experience with Databricks, Snowflake, Fabric or similar 
• Experience working with structured and unstructured data in a production environment. 
• Experience with Agentic AI, MLFlow, ML models, Eval 
• Secure Coding practices – testing/QA 
• Comfortable with cloud-based data platforms (preferably AWS). 
• Good communication skills in English — able to collaborate with cross-functional teams in an international environment. 
• Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats. 
• Working knowledge of Spark structured streaming. 
• AWS infrastructure experience, specifically working with S3. 
• Solid understanding of git-based version control, DevOps, and CI/CD.  
• Experience of working on Atlassian stack a plus. 
• 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. 

Nice to Have: 

• Experience in Financial Crime/AML, KYC, or fraud detection systems. 
• Familiarity with Entity Resolution frameworks (e.g., Quantexa, Sensing, open source Entity Resolution tools). 
• Experience with data streaming frameworks (Kafka, Spark Streaming, MQ).