Senior Quantitative Analyst: Rate Pricing & Pipelines

Elan Computing (Schweiz) AG; Zürich; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

Experis is seeking a Senior Quantitative Analyst focusing on interest rate pricing models in a hybrid Zurich setup. You will design and maintain data pipelines, develop data models, and ensure secure, well-tested code across ETL/ELT processes.

The role requires expertise in Python/Scala, SQL, Databricks, and Azure cloud technologies, with a strong emphasis on data governance and quality. Join a global IT talent network and leverage 5+ years in data systems, BI, and cloud architectures to drive

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience
• 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design
• 5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languages
• Solid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions
• Experience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environments
• Demonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta Lake
• Hands‑on experience with structured, semi‑structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases
• Familiarity with cloud storage solutions such as Azure Data Lake and Blob Storage
• Solid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing
• Experience with event‑driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (e.g., Kubernetes, Docker, Helm Charts)
• Knowledge and practical use of dbt (data build tool), experience with BI tools
• Excellent communication and collaboration skills, ability to provide technical leadership to other developers

Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Define data requirements and develop data models
• Manage and transform data across the platform
• Produce high-quality, well-tested, and secure code
• Develop and maintain software designed to improve data governance and security
• Develop processes designed to ensure Data Security and Data Quality

Skills

ETL/ELT

Data warehousing

BI tools

Python

SQL

Azure

CI/CD

Databricks

PySpark

Kafka

Kubernetes

Docker

dbt

Data modeling

Data Vault

Spark Streaming

Cloud storage

Data governance

Security

Education

Bachelor's or Master's in Computer Science / Data Analytics / Information Systems

Job description

Experis is seeking a Senior Quantitative Analyst focusing on interest rate pricing models in a hybrid Zurich setup. You will design and maintain data pipelines, develop data models, and ensure secure, well-tested code across ETL/ELT processes.

The role requires expertise in Python/Scala, SQL, Databricks, and Azure cloud technologies, with a strong emphasis on data governance and quality. Join a global IT talent network and leverage 5+ years in data systems, BI, and cloud architectures to drive