Description

About the job

Responsibilities:

Design and develop robust, scalable software solutions for acquiring, analyzing, and cleansing time series data

Enhance existing systems to improve performance, add functionalities, and integrate new technologies to enable easy access to time series data and metadata for both end users and systems

Implement algorithms for time series analysis, trend detection, and anomaly detection.

Lead engineers responsible for daily support and project based development of risk management systems.

Lead and mentor junior engineers and team members, fostering an environment of innovation and continuous improvement.

Implement best practices in software development, including DevOps

Collaborate with cross-functional teams to align system development with the company's strategic goals

Uphold and advocate for high standards in code quality, testing, and maintainability.

Requirements:

 

You are:

10+ years of experience in IT with more than 5 years in financial projects (preferably in the area of Market Risk)

Expertise in Python and C# or Java with automated testing

Strong experience in SQL and database programming (preferably MS SQL Server)

Good understanding of ETL/ELT and DWH concepts with hands on experience using ETL/ELT tools;

Strong testing and troubleshooting skills

Experience with Git, Jira, Confluence, Jenkins, and other DevOps tools

Functional expertise in time series management including fitting curves and vol surfaces

Good communication and presentation skills

 

It would be great if you also had:

Experience with Databricks Delta lake, Delta live tables, PySpark, and Snowflake

Experience with Xenomorph Timescape EDM+ or other vendor time series management products

Hands-on experience with SSIS.

Key Skills
Education

Any Graduate

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