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Data Science - Associate

J.P. Morgan
City of London
3 weeks ago
Applications closed

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Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

Data Science Intern

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Scientist at JPMorgan Chase within the International Consumer Bank (namely, Chase UK), youserve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintainingcritical data pipelines and architecturesacross multiple technical areas within various business functionsin support of thefirm’s business objectives.

Job responsibilities
  • Collaborate with business partners, research teams and domain experts to understand business problems.
  • Provide stakeholders with timely and accurate reporting.
  • Perform ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends.
  • Presents your findings in a clear, logical, and persuasive manner, illustrating them with effective visualizations.
  • Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
  • Identify unexplored opportunities to change how we do business using data.
Required qualifications, capabilities, and skills
  • 1-3 years experience
  • Experience across the data lifecycle
  • Advanced SQL querying skills.
  • Competent data analysis in Python.
  • Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand.
  • Experience with customer analytics such as user behavioral analysis, campaign analysis, etc.
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
  • Ability to work in a dynamic, agile environment within a geographically distributed team.
  • Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities, and skills
  • Distinctive problem-solving skills and impeccable business judgment.
  • Familiarity with machine learning.


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