Descrizione dell'offerta
Experteer Overview
In this role you drive the digital transformation of UniCredit’s Corporate Treasury Sales by leading a data and AI‑enabled analytics platform. You own the full stack of a core data analytics application, collaborating with cross‑functional teams to deliver client‑centric insights and opportunities. You'll shape data‑driven decision making, automate pricing and advisory workflows, and create intuitive dashboards for sales and clients. This role offers the chance to impact risk management solutions at scale in a dynamic banking environment. Retribuzione / Benefits
Lead data analytics and insights generation to identify client opportunities and hedging patterns Support design and deployment of AI models for risk profiling, hedging analysis, and personalized product recommendations Develop and maintain data visualizations and dashboards (Power BI, Angular front‑ends) to highlight KPIs and market trends Own full‑stack development for a data analytics application (Python ETL pipelines, Oracle databases, frontend Angular, backend C#) Collaborate with cross‑functional teams to explore ML use cases and dynamic pricing models Responsabilità
Academic background in quantitative fields (computer science, data science, mathematics, statistics, quantitative finance or related) Practical SQL/database experience and proficiency in at least one programming language (Python, Typescript, or C#) Experience with data visualization tools (Power BI) Hands‑on AI/ML experience with frameworks and concepts (LLMs, RAG, vector stores, agents; scikit‑learn, pandas, TensorFlow, PyTorch) Interest in heterogeneous data and system landscapes Strong analytical and problem‑solving abilities Knowledge of risk management products for corporate clients (FX forwards, options, commodity swaps, IR derivatives) Professional experience in finance/banking, especially with corporate clients or treasury products English fluency; good knowledge of German and/or Italian Requisiti fondamentali
Attractive remuneration steep learning curve Top Employer certification collaborative culture opportunity to shape corporate treasury solutions
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In this role you drive the digital transformation of UniCredit’s Corporate Treasury Sales by leading a data and AI‑enabled analytics platform. You own the full stack of a core data analytics application, collaborating with cross‑functional teams to deliver client‑centric insights and opportunities. You'll shape data‑driven decision making, automate pricing and advisory workflows, and create intuitive dashboards for sales and clients. This role offers the chance to impact risk management solutions at scale in a dynamic banking environment. Retribuzione / Benefits
Lead data analytics and insights generation to identify client opportunities and hedging patterns Support design and deployment of AI models for risk profiling, hedging analysis, and personalized product recommendations Develop and maintain data visualizations and dashboards (Power BI, Angular front‑ends) to highlight KPIs and market trends Own full‑stack development for a data analytics application (Python ETL pipelines, Oracle databases, frontend Angular, backend C#) Collaborate with cross‑functional teams to explore ML use cases and dynamic pricing models Responsabilità
Academic background in quantitative fields (computer science, data science, mathematics, statistics, quantitative finance or related) Practical SQL/database experience and proficiency in at least one programming language (Python, Typescript, or C#) Experience with data visualization tools (Power BI) Hands‑on AI/ML experience with frameworks and concepts (LLMs, RAG, vector stores, agents; scikit‑learn, pandas, TensorFlow, PyTorch) Interest in heterogeneous data and system landscapes Strong analytical and problem‑solving abilities Knowledge of risk management products for corporate clients (FX forwards, options, commodity swaps, IR derivatives) Professional experience in finance/banking, especially with corporate clients or treasury products English fluency; good knowledge of German and/or Italian Requisiti fondamentali
Attractive remuneration steep learning curve Top Employer certification collaborative culture opportunity to shape corporate treasury solutions
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Informazioni aggiuntive
Opportunità: Client Risk Management - Corporate Digital Development a Milano, Lombardia
Sei alla ricerca di una posizione come Client Risk Management - Corporate Digital Development presso Altro a Milano? Di seguito trovi tutti i dettagli di questa offerta di lavoro.
Retribuzione indicativa: 47.000€ – 70.000€
Competenze valorizzate
- Python
- TypeScript
- Angular
- Oracle
- Machine Learning
- TensorFlow
- PyTorch
- Pandas
- Power BI
- Problem solving
Lavorare a Milano
Milano è il principale hub economico italiano, con un mercato del lavoro dinamico e opportunità in tutti i settori, dalla finanza alla tecnologia.
Settore: Finanza
Competenze rilevate
Candidatura e Ritorno (in fondo)
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