Lead Data Scientist
6 days ago
As a Data Science Lead, Vice President within the Data & Analytics team, you will be a crucial part of the engine that provides us with insights to create competitive advantages for our business and deliver value for our customers. Our team unifies data and analytics talent across the firm, covering a range of disciplines such as data science, reporting, quantitative analytics, and data governance. Specifically, within the Decision Sciences sub-team, you will utilize industry-leading data techniques to transform data into meaningful insights, enabling the firm to promote value and deliver an exceptional customer experience.
The wealth management industry is rapidly changing and we are transforming our U.S. wealth management business to accelerate growth. We are looking for a talented Vice President to help inform our lead and referral strategies across the US Wealth Management (USWM) business unit that includes JP Morgan Personal Advisors, Chase Wealth Management, JP Morgan Advisors, and Online Investing digital platforms. Reporting to the USWM Leads Sciences Manager, this role will be central in building a scalable, sustainable data driven process that delivers acquisition and deepening opportunities to enable growth within our branch-based and independent advisors' books of business.
This is a vital hands-on role for exceptionally creative, ambitious, ""data curious"" thinkers who can help extract true business value from data.
Job Responsibilities
Partner with key executives to establish a roadmap for enhancing the capabilities of our leads platform through identifying opportunities to improve the volume, variety, and quality of leads
Lead ideation and execution sessions with product teams, channel owners, practice management and client experience leaders to identify opportunities to enable timely, relevant conversations between Advisors and customers that drive new accounts or assets
Analyze the full leads funnel to diagnose friction points and identify opportunities to increase conversion
Develop an approach to prioritize leads for triage and advisors based on value of the individual opportunity, urgency of the conversation, and client engagement patterns
Provide expertise as to how big data, machine learning, or business intelligence can be leveraged to understand different client / prospect personas propensity for opening new accounts
Leverage knowledge of our current and future analytic needs to partner with Technology and Data Management to develop a roadmap for launching new customer data assets
Required qualifications, capabilities, and skills
Have a unique combination of technical skills, mathematical know-how, storytelling, and intuition to understand what is happening to data from inception to analytical output to business decision
Obsess over all things data, including volume, variety, veracity, velocity, and visualization; you can efficiently manipulate data from disparate sources using Alteryx and other ETL tools and have a keen eye towards automation
Demonstrate flexibility and creativity in your problem solving - you geek out about developing an elegant solution versus just solving a problem via brute force
Have experience as a practicing data analyst in a field-based sales environment with demonstrated success delivering insights to CRM systems such as Salesforce
Think R is more than a letter, PYTHON is more than a snake, and Java is more than an island or coffee bean; you have querying and programming skills and are curious to learn new tools and techniques; are proficient with Business Intelligence (BI) tools (e.g. Tableau, Shiny Dashboards)
Perform exploratory data analysis across large enterprise databases (Terabytes) to transform data within sophisticated data warehouse tools (e.g. SQL, Snowflake)
Have a strong presence, excellent presentation skills (both written and verbal), and low ego with the ability to deliver recommendations to multiple stakeholders and influence senior management
Preferred qualifications, capabilities, and skills
Previously worked in a workforce analytics, sales performance analytics, or sales science organization
Are proficient in agile tools and programming tools such as PYTHON
Are trained in statistical principles including experimental design and analysis of variance, probability theory, and sampling theory; additional points if you have an advanced degree in Statistics or a related discipline
Have conducted advanced modeling (AI/ML) including supervised/unsupervised learning models, regression analysis, classification, and clustering
Have a strong grasp of big data disciplines, Agile (scrum) methodologies, and new technologies
Are a lifelong learner and hold a growth mindset; we welcome individuals who geek out on industry podcasts, stay abreast of cutting edge techniques, or participate in KDD and Kaggle competitions for "fun" and love to share what they are learning with the rest of the team
***Relocation assistance is not available for this role
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
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