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# SENIOR DATA MANAGEMENT - SIMCORP GAIN

- **Company:** Balin Technologies Llc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C Sharp (Programming Language), Unix, Cyber Security, Data Distribution Service, Data Security, Relational Databases, Database Queries, Microsoft Software, Oracle (Applications), Windows PowerShell, Reference Data, SQL Databases, Scripting, Information Technology, Data Management, Data Pipelines, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-management-simcorp-gain-remote-or--99204108-112f-4906-80a8-4cd447f1ab2c

## About the Role

Data Management, Data Management, Information/Data Security (InfoSec), File Maintenance, Systems Administration/Management, Scripting (Scripting Languages), SQL (Structured Query Language), Microsoft C# (C Sharp), Data Quality, Identify Issues, Strong experience with SimCorp GAIN/AIM,

relational databases (Oracle/SQL), and

scripting or programming languages (C#, PowerShell, or Unix/SQL scripts).

Domain Knowledge: Understanding of investment management operations, mutual funds, and asset data workflows.

Education: A Bachelor\'s degree in Computer Science, Information Technology, Finance, or a related quantitative field.

## Description

SimCorp GAIN -focuses on managing enterprise reference data, maintaining security master files, and optimizing inbound market data workflows using the SimCorp GAIN data management platform (formerly AIM Gain).

Core Responsibilities:

Data Management: Oversee inbound reference data, market data, and security master repositories within SimCorp GAIN.

System Support & Development: Build, configure, and support custom components, data pipelines, and scheduled processes (using C#, SQL, or scripting tools).

Workflow & Integration: Ensure smooth data distribution from SimCorp GAIN to downstream enterprise investment systems like SimCorp Dimension.

Troubleshooting: Resolve data quality issues, automate environment tasks, and optimize database query performance.