In this role you will support the end-to-end delivery of transaction monitoring solutions on the Quantexa platform by translating business needs into scalable, secure, and high-performing data and analytics solutions. This is a hands-on delivery and enablement role that partners with the Technical Lead (VP) and engineering teams across architecture execution, integration build-out, testing, and release activities. You will contribute to engineering best practices, produce high-quality solutions, and help ensure reliable production deployments through effective coordination and troubleshooting.
Key Responsibilities- Support technical discovery with business, data, and engineering stakeholders to understand objectives, data landscape, and success criteria for Quantexa use cases; capture outcomes and inputs for solution design.
- Contribute to solution architecture and implementation design on the Quantexa platform (data ingestion, entity resolution, network generation, analytics, and integration patterns) by drafting options, documenting decisions, and supporting reviews.
- Build and deliver platform demonstrations, prototypes, and proof-of-concepts, including data modeling, pipeline configuration, and analytic outputs to showcase value.
- Support integration with enterprise systems (data sources, APIs, messaging, identity, and security) by helping define interface requirements, validating assumptions, and assisting with performance, scalability, and resilience analysis.
- Partner with the Technical Lead (VP) and implementation teams to translate solution designs into delivery epics/stories; support delivery execution and help unblock teams through hands-on troubleshooting.
- Support release readiness by validating environments, deployment approaches, and operational runbooks; assist with production issue triage and coordination as needed.
- Create technical documentation (architecture diagrams, configuration notes, data mappings, and admin guidance) and enablement materials.
- Stay current on Quantexa features, accelerators, and best practices; share learnings and contribute reusable assets (demo datasets, templates, reference architectures).
Qualifications- Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field (or equivalent practical experience).
- 5+ years of experience in solution engineering, technical consulting, or implementation roles delivering data/analytics platforms.
- Hands-on experience with the Quantexa platform (configuration, data pipelines, entity resolution, network analytics) and the ability to explain technical concepts to non-technical audiences.
- Strong understanding of data integration patterns (batch/streaming), ETL/ELT concepts, APIs, and data quality/lineage practices.
- Proficiency with modern engineering tools and delivery practices (e.g., Git, CI/CD pipelines, artifact repositories) and comfort working in agile delivery models.
- Experience with big data and distributed processing concepts (e.g., Spark) and familiarity with Scala and/or Python.
- Experience working on cloud computing platforms (Azure preferred).
- Excellent written and verbal communication skills, with proven ability to support workshops, communicate technical concepts clearly, influence stakeholders, and drive closure on action items.
Preferred Skills- Experience in financial crime, fraud, AML transaction monitoring, or customer intelligence use cases.
- Experience designing entity resolution and graph/network analytics solutions, including tuning and evaluation approaches.
- Exposure to MLOps/ModelOps, feature engineering, and model integration patterns in production environments.
- Certification in Quantexa or related data analytics technologies is a plus.
- The expected base salary ranges from $81k-$160k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.
#LI-Hybrid
Other requirementsMizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process
