DescriptionCome join us if you want to create exceptional client experiences improve operational efficiencies and reduce risk through AI in global private bank
We have an exciting and rewarding opportunity for you to take your software engineering career to the next an Applied AI/ML Vice President within Asset & Wealth Management you will utilize your quantitative data science and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design develop evaluate and execute data science and analytical solutions all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling data analysis and modeling which encompasses model selection and the creation of swift applicable modeling solutions.
Job responsibilities:
- Engages with stakeholders and understanding business requirements
- Develops AI/ML solutions to address impactful business needs
- Works with other team members to productionize end-to-end AI/ML solutions
- Engages in research and development of innovative relevant solutions
- Coaches other AI/ML team members towards both personal and professional success
- Collaborates across teams to attain the mission and vision of the team and the firm
Required qualifications capabilities and skills:
- Formal training or certification on software engineering concepts and 5 years applied experience.
- Advanced degree in analytical field (e.g. Data Science Computer Science Engineering Applied Mathematics Statistics Data Analysis Operations Research)
- Experience in the application of AI/ML to a relevant field.
- Demonstrated practical experience in machine learning techniques supervised unsupervised and semi-supervised.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in Python with experience in leveraging libraries like Tensorflow Keras Pytorch Scikit-learn or others.
- Previous experience in working on Spark Hive or SQL.
Preferred Qualifications capabilities and skills:
- Demonstrated practical experience in application of LLMs for solving business problems.
- Financial service background.
- PhD in one of the above disciplines.
Required Experience:
Exec
DescriptionCome join us if you want to create exceptional client experiences improve operational efficiencies and reduce risk through AI in global private bankWe have an exciting and rewarding opportunity for you to take your software engineering career to the next an Applied AI/ML Vice President w...
DescriptionCome join us if you want to create exceptional client experiences improve operational efficiencies and reduce risk through AI in global private bank
We have an exciting and rewarding opportunity for you to take your software engineering career to the next an Applied AI/ML Vice President within Asset & Wealth Management you will utilize your quantitative data science and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design develop evaluate and execute data science and analytical solutions all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling data analysis and modeling which encompasses model selection and the creation of swift applicable modeling solutions.
Job responsibilities:
- Engages with stakeholders and understanding business requirements
- Develops AI/ML solutions to address impactful business needs
- Works with other team members to productionize end-to-end AI/ML solutions
- Engages in research and development of innovative relevant solutions
- Coaches other AI/ML team members towards both personal and professional success
- Collaborates across teams to attain the mission and vision of the team and the firm
Required qualifications capabilities and skills:
- Formal training or certification on software engineering concepts and 5 years applied experience.
- Advanced degree in analytical field (e.g. Data Science Computer Science Engineering Applied Mathematics Statistics Data Analysis Operations Research)
- Experience in the application of AI/ML to a relevant field.
- Demonstrated practical experience in machine learning techniques supervised unsupervised and semi-supervised.
- Strong experience in natural language processing (NLP) and its applications.
- Solid coding level in Python with experience in leveraging libraries like Tensorflow Keras Pytorch Scikit-learn or others.
- Previous experience in working on Spark Hive or SQL.
Preferred Qualifications capabilities and skills:
- Demonstrated practical experience in application of LLMs for solving business problems.
- Financial service background.
- PhD in one of the above disciplines.
Required Experience:
Exec
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