JPMorgan Customer Segmentation Analytics - Associate 

India, Maharashtra, Mumbai 

194842471

JobResponsibilities

• Plan, execute, and deliver customer-centric analytical projects, including:
• A segmentation framework, with varying levels of granularity, to deeply understand customers at scale
• Attributes that describe customers' financial needs and behaviors
• Data assets that define customer archetypes and describe them (e.g., market share, engagement, performance)
• Strategic analyses for a variety of segment-focused use cases (e.g., marketing, servicing, personalization)
• Segment-level dashboards that inform executives on critical KPIs
• Become a trusted partner and thought leader on customer data and data science & analytics techniques
• Establish and manage relationships with internal partners
• Deliver rapid and scalable solutions that generate high quality output
• Invent creative and innovative ways to answer key business questions by leveraging existing data assets or creating new ones
• Build expertise on customer data from all Chase lines of business
• Synthesize analytical findings for senior business executives in written and verbal formats and influence decisions that impact customers across Chase lines of business
• Proven analytics skills – should have strong hands-on experience(at least 3+ years of relevant exp.) in analyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy .
• Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression). Experience inclustering / segmentationprojects is a plus.
• Good problem solving skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders

Required Qualifications, skills and capabilities:

• 5-7 years of hands on experience in data and analytics, or related consulting in consumer financial services, with a proven record of high performance.
• Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.
• Experience working with P&L data, NPV and financial modeling is a great-to-have
• Demonstrated experience of Machine Learning and AI applications (K-means, XGB), with a record of delivering analytics that drive business value.
• Familiarity working in cloud based environments and developing production level code to execute applications. .
• Exceptional problem solving and analysis skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders
• Experience working independently as well as in teams in agile environments
• SQL (at least 4 years of hands-on exp.)
• Python (at least 2 years of hands-on exp.)
• Excel (intermediate to advanced knowledge)
• Data Wrangling (at least 3 years of hands-on exp.)
• Data Visualization (beginner to intermediate)