Senior Quantitative Analyst - Interest Rate Pricing Models

Experis; 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

Senior Quantitative Analyst - Interest Rate Pricing Models

Function:AI and Machine Learning and Data Science

Remotely: Hybrid

Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers.

Location: Zurich
Start date:ASAP
Duration: 12months – with possibility of extension

Key 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

Location: Zurich
Start date:ASAP
Duration: 12months – with possibility of extension

Key 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

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

Due to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland.