Python Developer- Timeseries

Role: Python Developer- Timeseries

Location: New York City, NY- Hybrid role (2 days onsite)

12 months

Job Description:

As part of the Risk technology department, the senior developer will take part in local development and integration work, related to the local and global Risk Systems.

Main Responsibilities

Python developers are responsible for designing and creating the data warehouse and all related extraction, transformation, and load of data functions.

Lead integration engineer responsible for daily support and project-based development of risk management systems.

Qualifications:

Experience in financial projects (preferably in the area of Market Risk)

Need strong Python resources with SQL with Time series or Market risk - Trade floor data engineer.

Functional expertise in Time series management for Market Risk.

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

Experience in Programming languages using Python; Databricks/PySpark.

Strong testing and troubleshooting skills.

Experience with Jira/Confluence tools and Git change management.

Experience in AIML (Artificial Intelligence Machine Language) is good to have