Data Science Senior Associate
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
Job Responsibilities
- Act as data science lead on Digital Process Discovery projects across the Middle Office Operations function
- Analyze process behavior using process mining techniques to identify improvement opportunities
- Enable real-time process monitoring using streaming data
- Perform data-driven root cause analysis to investigate process conformance issues and inefficiencies.
- Manage end-to-end projects from scoping, data collection and processing, modeling, implementation and evaluation.
- Work with U.S. team to facilitate advanced process analytics, locally and in the U.S.
- Work with leadership to develop innovative Process Intelligence solutions and work with the business to define use cases and new ideas
Required Qualifications, Skills and Capabilities
- Bachelor’s, Master’s or a PhD degree in data science, computer science, statistics or a related field
- 6+ years of strong experience in statistical analysis, process mining and process analysis
- Experience and proficiency in Python or R and experience with relevant libraries and frameworks to enable predictive process mining and monitoring
- Experience with providing data analytics for senior management and the ability to translate complex data insights into actionable recommendations
- Experience with data pipelining and data visualization tools, such as Alteryx and Tableau
- Ability to partner with broad range of internal teams, especially business and technology, across the organization to achieve results and convey technical concepts to non-technical stakeholders
- Strong verbal, written communications and presentation skills - ability to articulate and tell a story
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Computer Science Data Analytics Data visualization PhD Python R Statistics Streaming Tableau
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