Analytics állás, munka

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

• Aktív részvétel a vállalat modern, Databricks‑alapú adatplatformjának fejlesztésében és üzemeltetésében
• ETL/ELT adatfeldolgozási és -betöltési folyamatok tervezése, fejlesztése és karbantartása különböző forrásrendszerekből származó strukturált és strukturálatlan adatokhoz

Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the...

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

• Data flow, data pipeline-ok és skálázható adatmodellek tervezése, fejlesztése és optimalizálása üzleti elemzések támogatására,
• Data martok üzemeltetése és karbantartása a domain szakértőkkel együttműködve,
• Oracle rendszerek előkészítése dbt és Snowflake alapú migrációhoz,

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

Applied research and model validation Supporting go-to-market of new analytical models Advising clients on modeling choices for investment problems Understanding MSCI analytics conceptually and practically Critical evaluation of models Applying models to real-world investment problems Enhancing...

Building robust, scalable technology and quantitative models supporting investment decision making Supporting risk management and regulatory requirements for BlackRock and its global client base Contributing to the development of the Aladdin platform across diverse business areas Developing...