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Simcorp GAIN -- CONTRACT - REMOTE

Nutech Information SystemsUnited States🇺🇸United StatesPosted Sep 3, 2026

Why This Role Stands Out

This fully remote SimCorp GAIN Consultant role offers the chance to deepen your expertise in enterprise data management within the financial sector and contribute to critical data workflows. You'll thrive here if you possess strong SimCorp GAIN, SQL, and C# skills, combined with a solid understanding of investment management operations. Don't miss this opportunity to advance your career with a reputable client!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
2 weeks ago
OracleSQLC#PowerShell

Job Description

One of our financial client is lookinf for a SIMCORP GHAIN Consultant 

Completely rmeote , candidates can work outside  of US too . 

SimCorp GAIN role (often titled as a Software Engineer, Data Management Analyst, or Business Systems Analyst) 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.

 

Key Requirements

 

Technical Skills: 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.

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