Data Scientist Associate

JPMorgan Chase & Co.

Greater London

On-site

GBP 65,000 - 95,000

Full time

7 days ago
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Job summary

JPMorganChase within the Global Payments team is seeking a Data Scientist to deliver high-impact analytics use cases and promote adoption of global solutions. You will collaborate with data science and product teams to showcase data-powered products and engage with stakeholders to identify new opportunities.

The role requires expertise in SQL and data analytics platforms (Databricks, PySpark, Tableau), and a Bachelor's in Engineering, Computer Science, Statistics, or Mathematics.

Qualifications

  • Applied years of relevant experience in Data Science and Analytics Solutions.
  • Expertise in SQL.
  • Experience with data mining and data visualization tools (Databricks, PySpark, Tableau).
  • Bachelor's Degree in Engineering, Computer Science, Statistics, or Mathematics.

Responsibilities

  • Explore data flows and derive insights to inform payments product strategy.
  • Collaborate with data science and product teams to deliver analytics use cases.
  • Engage stakeholders and promote data-powered solutions.
  • Develop robust data assets to support analytical solutions.

Skills

SQL
Databricks
PySpark
Tableau
Data visualization

Education

Bachelor's degree in Engineering/Computer Science/Statistics/Mathematics

Tools

Databricks
PySpark
Tableau
AWS

Job description

Our Payments Data and Analytics team is responsible for delivering high impact insights to help grow our payments business, driving our Payments data strategy, and creating innovative data-driven products for our clients and internal partners. We combine data science/AI/ML expertise, consultative problem solving, design thinking and a deep understanding of technology to drive value.

As a Data Scientist at JPMorganChase within the Global Payments team of our Commercial and Investment Bank, you will collaborate with our global data science and product teams to deliver high-impact analytics use cases and promote the adoption of our global solutions. You will engage with stakeholders to showcase our data-promoted products, gather feedback, and identify new opportunities for insights and product enhancements.

Job responsibilities:
  • Explore how money moves through our network and around the world - working in close partnership with teams selling, developing and creating Payments’ products, including consumer-to-business payments, FX, trade finance and more, turning data into insights to impact the strategy and direction of JPM products.
  • Forge close collaborations with internal stakeholders to discern intricate data requirements and deliver actionable insights
  • Follow a management consulting type approach to identify and prioritize use cases (through impact orientation, business understanding, program management, executive presence)
  • Combine strong analytical thought process with hands on technical skills to solution and advance thinking to "best in class"
  • Articulate complex information concisely when communicating to internal stakeholders
  • Collaborate with product managers to contribute to the development of robust data assets that power analytical solutions
Required qualifications, capabilities, and skills:
  • Applied years of relevant experience in Data Science and Analytics Solutions
  • Expertise in SQL
  • Expertise in data and analytics platforms, leveraging a range of data mining and data visualization tools such as Databricks, PySpark, Tableau etc.
  • Bachelor's Degree in Engineering /Computer Science/ Statistics/Mathematics or other relevant fields
Preferred qualifications, capabilities, and skills:
  • Experience in the payments industry and/or technology-enabled industries
  • Experience in cloud computing platforms such as AWS
  • Team player with commitment and dedication, maintaining a positive attitude and high performance on high-profile/time-sensitive experiments.
  • Experience in problem solving and innovating
  • Familiarity of application development process a plus
  • Experience in programming
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