Job Summary
Customer Analytics is a newly formed team within Chase Data & Analytics that is responsible for (1) understanding customer needs across all of Chase and (2) generating insights around those needs that are customer-centric, segment-focused, and actionable. Customer Segmentation Analytics will power the broader team and influence business decisions by (1) using data science and machine learning to build strategic customer segments, archetypes, and attributes, and (2) driving strategic segment-focused analytics on a variety of use cases like marketing, servicing, personalization, among others.
Customer Segmentation Value Analytics is looking for a Data Scientist Associate to take on a high-profile role on the team, reporting to the Head of Customer Segmentation Analytics. This individual contributor role is a unique opportunity for an experienced practitioner in data science and analytics to (1) partner with other Data & Analytics teams to understand customer data and business priorities, (2) generate insights based on impactful segmentation and analytics, and (3) influence business decisions that impact customers across all Chase lines of business. The position offers an opportunity to work with big data technologies (Hadoop, Spark, Hive, Python, Cloud technologies) and to apply analytical, data science skills and strategic skills to broad range of challenges faced by the enterprise.
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Job Responsibilities
- 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
Required qualifications, capabilities, and skills
- 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. Tableau knowledge a plus.
- 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
- Proven analytics skills - should have strong hands-on experience(at least 5+ 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 in clustering / segmentation projects 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
Preferred qualifications, capabilities, and skills
- 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)
ABOUT US
JPMorganChase, 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.
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.