JP Morgan is Hiring Data Scientist – Analyst:-
JP Morgan is hiring candidates for the data scientist—analyst role in Bangalore. The complete details are as follows.
Qualifications
Required Qualifications, Capabilities and Skills:
- BS degree in a STEM related field and 1 year experience working in an analytics role
- Substantial experience with SQL (query/procedure writing)
- Experience with at least one of the following versatile, cross-technology tools/languages – Python, SAS, R or Alteryx
- Clear and succinct written and verbal communication – able to frame and present messages for different audiences
- Critical and analytical thinking
- Strong Microsoft Excel skills
- Ability to work independently and manage shifting priorities and projects
- Ability to maintain detail focus and retain big picture perspective
- Excellent interpersonal skills necessary to work effectively with a variety of individuals, departments and organizations
Preferred qualifications, capabilities, and skills
- Master’s degree in relevant field preferred
- Experience in Mortgage Banking or Financial Services industry
Skills Required
JOB DESCRIPTION
Help drive drive the analytics work flow and development by deploying cutting edge approaches to data wrangling and visualizations of macroeconomic and financial data.
As a Data Scientist Sr Associate on the Consumer and Business Intelligence team, you’ll join a new organization that monitors, coordinates and develops a holistic internal & external view of the financial well-being of consumers and businesses through the lens of internal and third party data. As the largest bank in the U.S., we are uniquely positioned to inform public perspective on the direction of the economy. During a time of unprecedented macroeconomic uncertainty, identifying emerging trends and economic relationships is of heightened importance.
Job Responsibilities:
- Recognizing and communicating meaningful trends/patterns in data as it relates to consumer and business health
- Collaborating and exploring emerging trends in income, spend, savings and credit with other economists, econometricians and data scientists
- Identifying and validating data sources and quality
- Clearly, carefully and quickly articulate discoveries with solid data support
- Contribute to the critical thinking and thrive in a fast-paced, competitive environment that prides itself on attention to detail and results
- Help develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues
- Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group
