JPMorgan Chase & Co

Develop roadmap of advanced analytics initiatives to support omni-channel collections experience, vehicle and customer skip tracing models and building A|B tests associated with the feature launches in a cloud-native specialist facing application for servicing Auto Loans and Leases.. Strong coding and heavy lifting in writing and maintaining Alteryx, SQL, Tableau and Python code.. Strong Mathematical/statistical skills by using Alteryx/Python/SQL/Tableau,. Knowledge of advanced statistical techniques and concepts or methodologies :Linear/logistic regression, statistical models, clustering, decision tree and experience in statistical and data mining techniques: GLM , Random Forest, Boosting, text mining, NLP, etc. 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.

analytics lead

Job Description Come join us in reshaping the future!! As a Quant Analytics Lead on the Auto Servicing & Collections Product team, you'll serve as an expert in leveraging the agile process to deliver on a wide range of business and product-focused analytics solutions. This can include building and updating business cases, exploratory analysis to identify product enhancement opportunities, generating feature performance metrics, dashboards, and crafting data stories and presentations of key findings for stakeholders. You will have the opportunity to manage a small team (2-3) analysts and work collaboratively with partners and other analytics teams across the organization. You'll also leverage enterprise data to develop the right automated data solutions using a mix of customer, account, digital, telephony, financial and operational data. Job Responsibilities <ul><li>Support & lead partnerships with key Ops stakeholders and Ops Product groups focusing on Auto Servicing & Collections with strong understanding of business drivers, underlying data and processes.</li><li>Represent the data and analytics Team in key leadership meetings. </li><li>Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, leadership teams and business partners. </li><li>Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies worth millions of dollars in Net Credit Loss benefit. </li><li>Transform data, reporting, analysis into insight that improves the existing operational processes & applications that impact thousands of customers.</li><li>Help business achieve key OKR of driving down Auto Servicing & Collections complaint rate</li><li>Develop roadmap of advanced analytics initiatives to support omni-channel collections experience, vehicle and customer skip tracing models and building A|B tests associated with the feature launches in a cloud-native specialist facing application for servicing Auto Loans and Leases.</li><li>Strong coding and heavy lifting in writing and maintaining Alteryx, SQL, Tableau and Python code.</li><li>Manage and prioritize work for a team of 2-3 analysts, including overseas employees. </li></ul>Required Qualifications, Skills And Capabilities <ul><li>Bachelor’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)</li><li>5+ years of experience in applying statistical methods to real world problems using SQL and at least one of the following analytical tools: Alteryx, Python, and Tableau</li><li>Experience with visualization techniques for data analysis and presentation</li><li>Strong Mathematical/statistical skills by using Alteryx/Python/SQL/Tableau, </li><li>Knowledge of advanced statistical techniques and concepts or methodologies :Linear/logistic regression, statistical models, clustering, decision tree and experience in statistical and data mining techniques: GLM , Random Forest, Boosting, text mining, NLP, etc..</li><li>Ability to crisply synthesize data into actionable insights for executive leadership </li></ul>Preferred Qualifications, Skills And Capabilities <ul><li>Experience using cloud services: Azure or AWS etc.</li><li>Master’s degree preferred.</li><li>Experience in Financial Services or like industry. </li></ul>Hybrid-60% in-office Please note: Relocation assistance is not offered/supported for this role. About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 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. Equal Opportunity Employer/Disability/Veterans 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.

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