Generative AI Engineer - Wealth Management (6-Month)

BELVEDERE

Wrocław

On-site

PLN 223,000 - 357,000

Part time

6 days ago
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Job summary

BELVEDERE is seeking an AI Developer to join our Wealth Management Solutions team in Wroclaw on a six-month contract. You will apply Generative AI and agentic systems to empower wealth managers and their clients, designing ML solutions that influence investment decisions.

Collaborate with business stakeholders to identify AI-driven opportunities, build predictive models, and develop dashboards to monitor performance.

Qualifications

  • Degree in Data Science, Statistics or related STEM field.
  • Minimum 3 years of relevant experience; finance exposure preferred.
  • Strong NLP, deep neural networks and Generative AI knowledge.
  • Experience creating dashboards/reports with Power BI.
  • Proficient in Python, R and SQL for data work.
  • Familiarity with PostgreSQL, Greenplum or Hadoop and BI tools.

Responsibilities

  • Collaborate with business teams to identify AI opportunities.
  • Design and implement Generative AI and agentic systems.
  • Analyse financial data to generate insights for advisors.
  • Develop ML models for classification, clustering and optimisation.
  • Build methods to support targeted marketing and sales of financial products.
  • Apply AI to interpret and guide client investment strategies.
  • Create documentation on model performance and governance.
  • Lead projects from concept to deployment.

Skills

Generative AI
NLP
Deep learning
Python
R
SQL
Data analysis

Education

Bachelor's or Master's in Data Science/Statistics or related STEM

Tools

Power BI
Tableau
PostgreSQL
Greenplum
Hadoop

Job description

BELVEDERE is seeking an AI Developer to join our Wealth Management Solutions team in Wroclaw on a six-month contract. You will apply Generative AI and agentic systems to empower wealth managers and their clients, designing ML solutions that influence investment decisions.

Collaborate with business stakeholders to identify AI-driven opportunities, build predictive models, and develop dashboards to monitor performance.

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