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Global Banking AI/ML Scientist - Innovate & Impact

JPMorgan Chase & Co.

Greater London

On-site

GBP 60,000 - 80,000

Full time

29 days ago

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Job summary

A prominent financial institution in Greater London is looking for an Associate Applied AI/ML Scientist to join its Global Banking Applied AI/ML team. In this role, you will develop and implement innovative AI and machine learning solutions to solve complex business problems. The ideal candidate will have a Master’s or PhD in a quantitative field, strong analytical skills, and proficiency in Python and relevant libraries. This opportunity offers a collaborative work environment where learning and growth are emphasized.

Qualifications

  • Master’s or PhD in a quantitative discipline.
  • Strong foundation in mathematics, statistics, and optimization.
  • Hands‑on experience with machine learning and AI methodologies.
  • Ability to design experiments and performance evaluations aligned with business goals.
  • Strong analytical and problem‑solving skills.

Responsibilities

  • Research and develop innovative quantitative and machine learning solutions.
  • Translate business requirements into AI/ML specifications.
  • Design experiments and implement algorithms for diverse business use cases.
  • Validate results and productionise scalable, trustworthy solutions.
  • Collaborate with cross-functional teams to deploy machine learning services.

Skills

Machine learning
AI methodologies
Data analysis
Problem-solving
Collaboration

Education

Master’s or PhD in Mathematics, Statistics, Computer Science, or Engineering

Tools

Python
SciPy
Pandas
NumPy
Job description
A prominent financial institution in Greater London is looking for an Associate Applied AI/ML Scientist to join its Global Banking Applied AI/ML team. In this role, you will develop and implement innovative AI and machine learning solutions to solve complex business problems. The ideal candidate will have a Master’s or PhD in a quantitative field, strong analytical skills, and proficiency in Python and relevant libraries. This opportunity offers a collaborative work environment where learning and growth are emphasized.
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