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Investment data analyst (m/f/d) - english speaking

München
Data Analyst
Inserat online seit: 26 März
Beschreibung

Hinzugefügt 26/03/2026

* Performance Attribution
* Opportunity to work with advanced attribution tools and complex investment datas


Firmenprofil

We are looking for a highly analytical Investment Data Analyst (m/f/d) with strong SQL/PL/SQL skills and hands-on experience in performance attribution and attribution datamarts (e.g., DM_CLA, PaRDS).
In this role, you will work at the intersection of data engineering, investment analytics, and reporting, supporting portfolio management and performance teams with high-quality data and attribution insights.


Aufgabengebiet

* Develop and optimise SQL/PLSQL scripts, stored procedures and ETL processes
* Maintain and enhance attribution datamarts (DM_CLA, PaRDS)
* Analyse portfolio performance using industry-standard attribution methods (e.g., Brinson, multi-factor, FX attribution)
* Ensure data accuracy across time series, benchmarks, exposures and P&L datasets
* Support performance reporting, KPI calculations and regulatory requirements
* Troubleshoot data issues and perform root-cause analyses in complex DWH environments
* Improve data workflows, automation and data quality standards
* Collaborate closely with performance, risk, portfolio management and IT teams


Anforderungsprofil

* Strong experience with SQL & PL/SQL (Oracle preferred)
* Understanding of performance attribution methodologies
* Experience working with attribution databases such as DM_CLA or PaRDS
* Knowledge of investment data structures (holdings, benchmarks, FX, risk factors)
* Background in Asset Management, Investment Banking, Fund Operations or similar
* Experience in ETL, DWH concepts, and data modelling
* Analytical thinker with strong attention to detail
* Ability to work independently and in cross-functional teams
* Good communication skills in English; German is a plus


Vergütungspaket

* Opportunity to work with advanced attribution tools and complex investment datasets
* A high-impact position in a data-driven environment
* Hybrid working and flexible structures
* A collaborative and international team culture

Kontakt

Anastasia Fedotushkina

Referenznummer

JN-032026-6981759

Telefonnummer

+491735481606

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