Senior Data Scientist Associate at JPMorgan

Short Description:

JP Morgan seeks a Senior Data Scientist Associate in Bengaluru, India, for its International Consumer Banking division. Collaborating across diverse business domains, the role involves delivering timely reporting, conducting insightful analyses, and automating processes. The ideal candidate possesses 4+ years of SQL expertise, proficiency in Python, and a knack for translating data into actionable insights. JPMorgan Chase & Co., with over 200 years of financial excellence, fosters diversity and inclusion while offering innovative solutions to a global clientele.

Job Title: Senior Data Scientist Associate - Python, SQL

Location: Bengaluru, Karnataka, India

Job Information:

Job Identification: 210460767
Job Category: Predictive Science
Job Schedule: Full time
Locations: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN

Job Summary:

As a Senior Data Scientist Associate at JP Morgan in the International Consumer Banking business, we are dedicated to fostering a data-driven culture within the organization. The Business Analytics team plays a pivotal role in this initiative, collaborating across various business domains such as Marketing, Financial Crime, and Contact Center Operations. Working closely with stakeholders at all levels, including executive leadership, we assist in data-informed decision-making by providing reporting, conducting in-depth analyses, and automating data-intensive business processes.

Job Responsibilities:

Collaborate with business partners, research teams, and domain experts to comprehend business problems.
Deliver timely and accurate reporting to stakeholders.
Conduct ad hoc analysis using diverse data sources to provide decision-makers with actionable insights on product performance, customer behavior, and market trends.
Present findings in a clear, logical, and persuasive manner, supported by effective visualizations.
Collaborate with data engineers, machine learning engineers, and dashboard developers to automate and optimize business processes.
Identify untapped opportunities for transforming business practices through data.

Required Qualifications, Capabilities, and Skills:

4+ years of experience in advanced SQL querying skills.
Proficient in data analysis using Python.
Experience in using big data and statistics to address business questions.
Experience with customer analytics, including user behavioral analysis and survey analysis.
Demonstrated ability to contextualize raw data within the business context and identify business opportunities hidden in data.

Preferred Qualifications, Capabilities, and Skills:

Familiarity with basic concepts in modeling and machine learning.

About Us:

JPMorgan Chase & Co., a renowned financial institution with over 200 years of history, provides innovative financial solutions to millions of consumers, small businesses, and global corporate, institutional, and government clients. We excel in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

We are committed to diversity and inclusion, recognizing that our people are fundamental to our success. JPMorgan Chase & Co. is an equal opportunity employer that does 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 provide reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

About the Team:

Our Corporate Functions professionals cover a diverse range of areas, including finance, risk, human resources, and marketing. They are an essential part of our company, ensuring that we set our businesses, clients, customers, and employees up for success.

Please click here to apply.

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