Data Scientist Associate

Greater London
Full time
Posted
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JP Morgan
Banking, investment & finance
10,001+ employees
491 jobs
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Job Responsibilities:

  • Leverage your knowledge and analytical skills to help uncover novel use cases of Big Data analytics that can be deployed at scale across the ICB
  • Help partners in the Marketing, Savings, Daily Banking, Operations define their business problems, understand root causes and scope analytical solutions to address it
  • Research, design, implement, and evaluate analytical approaches and models
  • Take initiative in evaluating and adapting new approaches from data science research
  • Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets from small scale to “big data”
  • Investigate data visualization and summarization techniques for conveying key findings
  • Communicate findings and obstacles to our stakeholders in the business to help drive the delivery to market
  • Code your solutions (this is a hands-on position requiring strong programming skills)
  • Collaborate across teams to deliver the best solution for client, working with a wide range of internal resources

Required qualifications, capabilities, and skills:

  • Bachelor’s degree in relevant quantitative field required.
  • 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems.
  • Exceptional analytical, quantitative, problem solving, and communication skills.
  • Excellent leadership, consultative partnering and collaboration across teams.
  • Knowledge of statistical software packages (e.g. Python, R and SAS) and data querying languages (e.g. SQL).
  • Experience across a broad range of modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills:

  • Understanding of the key drivers within the credit card P&L is preferred.
  • Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
  • Financial services background preferred, but not required.
  • M.S. degree or equivalent.