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Applied AI ML Associate - Global Banking

JPMorgan Chase & Co.

Greater London

On-site

GBP 60,000 - 80,000

Full time

7 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

Join a dynamic team where your passion for AI and machine learning fuels real-world impact. At JPMorgan Chase, you’ll collaborate with experts, experiment with cutting-edge technologies, and help shape the future of banking. We value curiosity, creativity, and a drive to learn. Here, your ideas and skills will help us deliver innovative solutions and support your career growth.

As an Associate Applied AI/ML Scientist in the Global Banking Applied AI/ML team, you will use advanced quantitative methods to address complex business problems. You will work closely with cross-functional teams to design, develop, and implement AI and machine learning solutions. Your work will help drive innovation, optimize processes, and create data products that support the firm’s commercial goals. You will be part of a collaborative, inclusive environment that values continuous learning and experimentation.

Job 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
  • Integrate solutions with strategic systems across the firm
  • Engage with firm-wide machine learning communities for knowledge sharing
  • Communicate technical concepts and results to technical and business audiences
Required Qualifications, Capabilities, and Skills
  • Master’s or PhD in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Engineering)
  • Strong foundation in mathematics, statistics, and optimization
  • Hands‑on experience with machine learning and AI methodologies
  • Ability to design experiments, training procedures, and performance evaluations aligned with business goals
  • Strong analytical and problem‑solving skills
  • Experience with scientific computing and Python libraries (e.g., SciPy, Pandas, NumPy)
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively
  • Willingness to learn and grow in a dynamic, inclusive environment
Preferred Qualifications, Capabilities, and Skills
  • Experience with natural language processing, graph analytics, or time series modelling
  • Familiarity with deploying machine learning solutions in production environments
  • Experience collaborating with product, engineering, business, control, legal, or risk teams
  • Participation in knowledge sharing within machine learning communities
  • Demonstrated curiosity and motivation to tackle complex analytical problems
Why Join Us?

Be part of a team that values innovation, continuous learning, and diverse perspectives. At JPMorgan Chase, you’ll have the opportunity to make a meaningful impact, grow your skills, and advance your career in a supportive and collaborative environment.

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