JPMorgan Chase Off Campus 2024 – Embark on an exciting career journey with JPMorgan Chase, a global leader in financial services, as they are actively recruiting for the position of Data Analytics – Analyst in Bangalore. This off-campus opportunity, tailored for freshers, invites individuals with a Bachelor’s Degree or MBA to apply and become part of JPMorgan Chase’s dynamic team. For more details about the JPMorgan Chase Jobs 2024, read the below sections.
JPMorgan Chase Recruitment 2024 – Job Responsibilities
- Data analytics and insight generation initiatives through hands-on data science techniques.
- Create an experimental framework to facilitate data collection as needed.
- Define the comprehensive analytics approach leveraging a combination of business knowledge, statistical methodologies, data techniques and machine learning algorithms.
- Build models/ data applications to produce actionable insights. Develop impactful visualizations delivering simplified insights messaging.
- Interact with business and functional stakeholders throughout the organization on analytics Initiatives and development.
- Synthesize business needs and identify optimal data solutions to address the needs.
- Deliver data insights, and business value and recommend next steps to senior stakeholders.
JPMorgan Chase Jobs 2024 – Qualifications and Skills
- Bachelors in Engineering, Computer Science, Math, Statistics or related discipline or an MBA from a reputed institution.
- Experience in premier analytics firms or teams in BFSI, E-Commerce domains or dynamic start-ups focused on providing analytical solutions to clients.
- Hands-on experience with Programming languages; (e.g., R, Python, SQL), Analytical tools (e.g., Alteryx), Distributed file systems (e.g., Hadoop), Visualization tools/ programming (e.g., Qlik Sense, Tableau, D3), Cloud computing platforms (e.g., Amazon Web Services).
- Ability to design and execute repeatable and scalable data solutions (extraction/ mining/ modeling/ visualization).
- Exposure and experience with designing and building machine learning algorithms.
- Familiarity with applied statistical methods involving regression, clustering, time series forecasting, customer segmentation, and driver and causality analysis.
- Experience in interacting with business partners, gathering requirements, scoping business problems, and communicating insights.
