We are seeking a Quantexa Specialist to design, build, and optimize solutions on the Quantexa Decision Intelligence platform—leveraging
Entity Resolution (ER)
,
Network Generation
, and
Contextual Insights
to deliver outcomes across
AML/KYC, Fraud, Trade Surveillance, and Customer Intelligence
. You will partner with data engineering, product, and business teams to translate requirements into scalable, production-grade solutions.
Key Responsibilities
Design & Build
: Configure Quantexa data models, entity resolution strategies, and network analytics for high-scale ingestion and processing.
Use Case Delivery
: Implement AML/KYC, Sanctions, Fraud, Credit Risk, or Customer 360 use cases with measurable KPIs (e.g., alert precision, case triage reduction).
Integration & Data Pipelines
: Collaborate on data ingestion (batch/streaming), schema design, match rules, survivorship, and scoring.
Performance & Reliability
: Optimize Spark jobs, indexing, and graph/network retrieval for SLAs; ensure observability and recovery.
MLOps (Optional)
: Integrate models (risk scoring, anomaly detection) with features from the Quantexa graph.
Governance & Security
: Ensure data privacy, lineage, and auditability aligned with policies and regulatory requirements.
Documentation & Enablement
: Produce solution designs, runbooks, and handover documentation; support L2/L3.
Stakeholder Management
: Collaborate with Compliance, Fraud Ops, and Business teams; present insights to leadership.
Must-Have Skills
Quantexa Platform Expertise
: Data model configuration, Entity Resolution (match rules, weights, thresholds), Network Generation, scoring, and deployment.
Big Data & Distributed Processing
:
Apache Spark
(Scala/Java/PySpark), distributed data modeling and performance tuning.
Data Engineering
: ETL/ELT, schema design (JSON/Avro/Parquet), SQL (PostgreSQL/Oracle), and
streaming
(Kafka).