AML/Financial Crime Data Engineer (Quantexa)

MALTEM ASIA PTE. LTD.; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Maltem Asia is seeking a Data Engineer for a Banking Client based in Singapore. The role focuses on designing and implementing Quantexa-based solutions for Financial Crime (AML/Fraud) and bridging business needs with data/tech teams.

You will translate risk and compliance requirements into scalable data-driven solutions, collaborating with Compliance, Risk, and Operations to deliver robust data infrastructure and quality outcomes.

Qualifications

• 5-10 years of experience in Financial Services / Banking Tech.
• Hands-on experience in Quantexa implementation or similar platforms (Actimize, SAS AML, Feature space).
• Experience using Alteryx, Linkurious or DataWalk is a plus.
• Strong understanding of Entity Resolution and data matching techniques.
• Knowledge of customer and transaction data models.
• Understanding of network / graph-based analytics concepts.
• Solid SQL skills (joins, aggregations, data validation).
• Good understanding of data engineering concepts (ETL pipelines, data modeling, data quality).
• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL.
• Strong expertise in designing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc).
• Experience with OpenShift, Kubernetes for containerization/orchestration.
• Proficiency in Spark, Python, Scala, or Java for data engineering.
• Knowledge ofDevOps practices, CI/CD pipelines, and infrastructure automation tools (Docker, Jenkins, Ansible, BitBucket).
• Experience with Grafana, Prometheus, Splunk is a plus.
• Experience integrating Elasticsearch for data indexing and search applications.
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization.
• Experience with distributed computing, parallel processing, and large datasets.
• Proficient in performance tuning for Spark and Elasticsearch.
• Strong problem-solving and analytical skills; ability to debug complex issues.
• Familiarity with Git and collaborative development workflows.
• Excellent communication and teamwork skills; cross-functional collaboration.
• Experience with cloud platforms (AWS, Azure, GCP) and data services is a plus.

Responsibilities

• Gather and translate business requirements (AML, Fraud, KYC) into functional and data specifications.
• Define entity resolution, matching and network linking logic aligned to business use cases.
• Perform data analysis and mapping across multiple source systems (customer, account, transaction).
• Design logical data pipelines (ingestion, standardization, matching, network generation, scoring).
• Collaborate with Data Engineers to ensure feasibility and alignment of data transformations.
• Support data quality assessment, cleansing rules, and standardization approaches.
• Validate outputs including entity resolution results, network generation, and risk scoring.
• Assist in UAT, defect triage, and business validation of Quantexa outputs.
• Prepare functional documentation (BRD, FRD, mapping documents, data dictionaries).
• Work closely with Compliance, Risk, and Operations stakeholders.

Skills

Entity Resolution

Data Modeling

ETL Pipelines

SQL

Spark Architecture

Python

Scala/Java

Data Quality

Distributed Computing

Problem Solving

Communication

Tools

Quantexa

OpenShift

Kubernetes

Hadoop

Spark

Hive

Pig

Elasticsearch

Grafana

Prometheus

Splunk

Docker

Jenkins

Ansible

Bitbucket

Git

AWS

Azure

GCP

Job description

Maltem Asia is seeking a Data Engineer for a Banking Client based in Singapore. The role focuses on designing and implementing Quantexa-based solutions for Financial Crime (AML/Fraud) and bridging business needs with data/tech teams.

You will translate risk and compliance requirements into scalable data-driven solutions, collaborating with Compliance, Risk, and Operations to deliver robust data infrastructure and quality outcomes.