System Analyst (AI/ML) - 1-year renewable contract

Evolution Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Evolution Singapore is seeking a senior Platform Lead to own the platform strategy, roadmaps and lifecycle across Name Screening, Transaction Monitoring and risk scoring systems. You will lead architecture governance, drive data integration efforts and coordinate with vendors to ensure scalable, compliant delivery.

The role demands 10+ years in IT with strong SQL, big data experience and familiarity with AI/ML tools.

Qualifications

• 10+ years of IT experience in system analysis, data platforms, or technical leadership.
• Proficient in SQL and data analysis.
• Able to read/understand Unix/Linux scripts, Python or Java code for troubleshooting.
• Hands-on development experience is advantageous but not required.
• Exposure to generative AI or ML platforms is advantageous.
• Experience with big data environments (Cloudera CDP, Hadoop, Spark, Hive).
• Ability to evaluate solution options, scalability and operational considerations.
• Experience coordinating with infra, apps teams, vendors and partners.
• Experience supporting production systems and conducting root cause analysis.

Responsibilities

• Own platform strategy, roadmap and service lifecycle management.
• Provide technical leadership for screening, monitoring and risk platforms.
• Lead architecture governance and ensure alignment with standards.
• Manage platform enhancements, BAU, model onboarding and regulatory changes.
• Drive delivery across analysts, managers and vendors.
• Oversee ETL engineering, data integration and data quality initiatives.
• Partner with Core Services on stability, capacity planning and DR readiness.
• Support governance activities (Pre-ITC, Architecture Review, Security Review).
• Own vendor performance, technical direction and project escalation.

Skills

SQL

Unix/Linux scripting

Python/Java

Big data

Data platform

Regulatory knowledge

AI/ML awareness

Architectural thinking

Vendor management

Root cause analysis

Tools

Cloudera CDP

Hadoop

Spark

Hive

Kafka

Data Lake

NiFi

Atlas

Ozone

Control-M

Job description

JD

Please note that visa sponsorship is not available at this time.

Key Responsibilities:

• Own platform strategy, roadmap and service lifecycle management.
• Provide technical leadership for Name Screening, Transaction Monitoring and Customer Risk Scoring platforms.
• Lead architecture governance and ensure alignment with enterprise architecture standards.
• Manage platform enhancements, BAU initiatives, model onboarding and regulatory changes.
• Drive delivery across System Analysts, Technical Delivery Managers, Core Services and external vendors.
• Oversee ETL engineering, data integration and data quality initiatives supporting MLS platforms.
• Partner with Core Services on platform stability, capacity planning, DR readiness and technology refresh activities.
• Support Pre-ITC, Architecture Review, Security Review, ISRA and Project Governance activities.
• Own vendor performance, technical direction and solution quality.
• Act as escalation point for major incidents, platform risks and strategic initiatives.

Must Have

• 10+ years of IT experience as System Analyst, Data Platform Analyst, Solution Designer, or Technical Lead supporting enterprise applications
• Strong SQL and data analysis skills
• Ability to read and understand Unix/Linux scripts, Python or Java code for troubleshooting and impact assessment purposes
• Hands-on development experience is advantageous but not mandatory
• Exposure to Generative AI, AI-assisted development tools or ML platforms would be advantageous.
• Experience working with Big Data or Data Platform environments such as Cloudera CDP, Hadoop, Spark, Hive, Kafka, Data Lake or similar technologies
• Ability to evaluate solution options and understand platform capabilities, limitations, scalability and operational considerations
• Experience coordinating with infrastructure teams, application teams, external vendors and technology partners throughout project delivery lifecycle
• Experience supporting production systems, troubleshooting complex incidents and driving root cause analysis activities
• Strong experience in requirements analysis, functional specification, technical specification, data mapping and process mapping

Good to Have

• Experience with Cloudera CDP ecosystem (Hive, Spark, Impala, Kafka, NiFi, Ranger, Atlas, Ozone)
• Experience supporting AML, Compliance, Risk Monitoring, Name Screening or Transaction Monitoring platforms
• Understanding of distributed systems, data lake and big data architectures
• Familiarity with infrastructure concepts including networking, firewall connectivity, load balancing, HA/DR and capacity planning
• Experience working with HPE, Cloudera or similar platform vendors
• Familiarity with Control-M, JIRA, SharePoint, Confluence and DevOps tools
• Experience with release management, SIT, UAT and production deployment activities